CN202075748U - Automobile electronic radio-frequency identification parameter detection system based on virtual instrument - Google Patents
Automobile electronic radio-frequency identification parameter detection system based on virtual instrument Download PDFInfo
- Publication number
- CN202075748U CN202075748U CN201120128082XU CN201120128082U CN202075748U CN 202075748 U CN202075748 U CN 202075748U CN 201120128082X U CN201120128082X U CN 201120128082XU CN 201120128082 U CN201120128082 U CN 201120128082U CN 202075748 U CN202075748 U CN 202075748U
- Authority
- CN
- China
- Prior art keywords
- radio
- frequency
- instrument
- signal
- antenna
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
- 238000001514 detection method Methods 0.000 title abstract description 19
- 238000004891 communication Methods 0.000 claims abstract description 21
- 238000005086 pumping Methods 0.000 claims description 9
- 230000006855 networking Effects 0.000 claims description 7
- 238000000034 method Methods 0.000 abstract description 28
- 230000008569 process Effects 0.000 abstract description 25
- 238000004458 analytical method Methods 0.000 abstract description 24
- 238000012360 testing method Methods 0.000 abstract description 18
- 238000005259 measurement Methods 0.000 abstract description 12
- 238000004422 calculation algorithm Methods 0.000 abstract description 7
- 238000011161 development Methods 0.000 abstract description 4
- 238000004519 manufacturing process Methods 0.000 abstract description 4
- 238000006243 chemical reaction Methods 0.000 abstract description 3
- 238000009826 distribution Methods 0.000 abstract description 2
- 230000007274 generation of a signal involved in cell-cell signaling Effects 0.000 abstract description 2
- 238000010200 validation analysis Methods 0.000 abstract 1
- 238000005516 engineering process Methods 0.000 description 11
- 238000002955 isolation Methods 0.000 description 11
- 238000005070 sampling Methods 0.000 description 9
- 238000013461 design Methods 0.000 description 8
- 238000001914 filtration Methods 0.000 description 8
- 230000006870 function Effects 0.000 description 8
- 230000005540 biological transmission Effects 0.000 description 5
- 238000007689 inspection Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 239000011159 matrix material Substances 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 230000011664 signaling Effects 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 150000001875 compounds Chemical class 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 230000004069 differentiation Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 238000001228 spectrum Methods 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 230000006399 behavior Effects 0.000 description 1
- 230000033228 biological regulation Effects 0.000 description 1
- 238000005520 cutting process Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 230000005284 excitation Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000006386 memory function Effects 0.000 description 1
- 230000002688 persistence Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 230000011514 reflex Effects 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 229920006395 saturated elastomer Polymers 0.000 description 1
- 238000013515 script Methods 0.000 description 1
- 238000010561 standard procedure Methods 0.000 description 1
- 238000010998 test method Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Images
Landscapes
- Monitoring And Testing Of Transmission In General (AREA)
Abstract
The utility model discloses an automobile electronic radio-frequency identification parameter detection system based on a virtual instrument. The system mainly consists of an antenna, a cable and signal distribution device, a radio-frequency and analog digital conversion and switching module, a local area network (LAN) bus and a computer and measurement software. The system finishes the processes of radio-frequency detection and measurement of a radio frequency identification device (RFID) component by performing functional steps of self detecting, calibrating, collecting, analyzing and automatically generating the whole process report by the software and the like. According to the system, the problem of the standard format that the traditional measurement instrument cannot measure can be solved, and the signal analysis way of the instrument is expanded; the signal analysis problem of a virtual instrument in the automobile electronic application is solved; a communication algorithm is implanted into the computer so as to solve the test requirement of production line of development validation and production manufacture of multi-standard demodulation, analysis, statistics and the like of the virtual instrument. Furthermore, signal generation and analysis multiple modules of the virtual instrument are used by the system to synchronously operate, thereby solving the problem that a network analyzer with high price always needs to finish path calibration.
Description
Technical field
Whether qualified the utility model relates to a kind of automotive electronics radio-frequency (RF) identification parameter detecting system based on virtual instrument, particularly relate to a kind of RFID electronic tag automotive electronics radio-frequency (RF) identification parameter detecting system that is used on the testing automobile.
Background technology
The RFID communication system more and more is applied to all trades and professions, and especially the RFID communication system of RFT pattern has occupied automotive electronics recognition technology main flow with its low-power consumption, low cost, easily dispose feature.The RFT mode of operation is meant that card reader sends continual carrier wave (CW) signal as the energy pumping signal to label, initiates communication, and label responds this excitation and feedback reverse signal.The RFID that is not both with traditional wireless communication mode maximum receives and dispatches separating of path obviously, and it is different with the received signal path that promptly read write line sends signal.But different path loss needs different offsets, and this offset need obtain by dividing other path calibration.This special communication pattern needs the RFID measuring system by being different from traditional system configuration.
The radio frequency parameter of REID measures at present all that for example spectrum analyzer and VSA are finished by universal instrument.These general purpose instruments can only be according to having formed the standard techniques analytic signal on the market, ISO/IEC14443 for example, ISO/IEC18000-2,3,4,5,6,7; ISO/IEC15693, standards such as NFC are exactly some typical technology.And in the field of radio frequency identification customization, proprietary, and the technology of upgrade encryption algorithm is very general, for example the electron key technology of automotive electronics just has been to use the RFID signal of encrypting.Under this situation, even also powerless for the simplest ASK and fsk signal general purpose instrument.
For automotive electronics RFID measuring system, instrument need be carried out time-domain analysis, frequency-domain analysis, and separate the mediation protocal analysis.This 4 big alanysis need be carried out simultaneously, and analyze the unlike signal standard simultaneously, virtual instrument has born advantage, because virtual instrument is different from intelligence instrument, intelligence instrument relies on embedded and methods analyst program firmware preestablishes, the program of virtual instrument is independent of hardware and exists, and utilizes VC, C++, Python, Scripts, analysis instruments such as Matlab carry out, and instrument development personnel upgrading and expansion only are software works.At present virtual instrument is mainly used in industrial automation, also belongs to blank for the detection system of communication and radio-frequency measurement, especially automotive electronic technology and technology of Internet of things RFID.
Therefore, existing instrument analysis technology, the feature that is subject to hardware clearly, the 125KHz that uses of RFID technology of Internet of things for example, 13.56M, wait high frequency and ultrahigh frequency, also there is 925MHz, 2.4GHz, the radio frequency standard of frequency range, even also have microwave frequency bands such as being used for radar 5.8GHz.Changed a standard and often meaned that system will change the hardware instrument, brings inconvenience to test job.Improved the cost of test, made to detect and measure to can not get effectively carrying out and promoting, influenced the quality of product in development and general company.
In a word, present various RFID detection systems all are by increasing the complexity of general purpose instrument, by changing the update that the hardware instrument satisfies pure software upgrading and technical standard, isolated hardware and software algorithm relation between the two, inevitably have certain limitation.Simultaneously,, have more technical standard requirement along with the continuous development of automotive telematics technology, the complete vehicle quality requirement, the application demand of detection system, existing scheme fail to provide an effective solution so far.
In sum, problem demanding prompt solution is need improve present RFID detection system, to overcome the shortcoming that it too is subject to the dirigibility of hardware shortage.
Summary of the invention
Technical problem to be solved in the utility model is, a kind of automotive electronics radio-frequency (RF) identification parameter detecting system based on virtual instrument is provided, it has solved traditional function singleness when utilizing the common bench instrumental analysis, the instrument kind that the composition system needs is many, the price height, networking is inconvenient, and instrument cubicle is difficult to synchronously and triggers, and existing firmware demodulation ability is limited, only solves the conventional power and the weak points such as measurement of frequency.
For solving the problems of the technologies described above, basic design of the present utility model is: by combine (hereinafter referred to as " virtual instrument ") of software with hardware, finish detection to the RFID electronic tag by software and the mutual work compound of hardware.Particularly, utilize virtual instrument to substitute existing common bench instrument, realize that many standards of frequency range and hardware are compatible flexibly; By the original firmware method of software replacement, on the code level, realize signal analysis and processing support to standard; The multianalysis that realizes radio frequency identification signal by the update software algorithm detects; Standard calibration that utilization proposes and self check definition, the due precision of strict regulations virtual instrument and repetition performance.By above improvement, the detection needs that the native system precision fully can be realistic have been guaranteed.
As a kind of technical scheme that realizes that the utility model is conceived substantially, the utility model is to adopt a kind of automotive electronics radio-frequency (RF) identification parameter detecting system based on virtual instrument, this system comprises: modular instrument, emitting antenna, receiving antenna, measure antenna, measured piece, the remote networking computing machine, measure radio-frequency cable, control and communication bus cable, and radio-frequency cable, wherein, modular instrument is connected with antenna by radio-frequency cable, modular instrument sends pumping signal and receives the RFID label by receiving antenna to the RFID at measured piece place label by emitting antenna and responds the radiofrequency signal that this pumping signal is fed back, modular instrument is by measuring the transmitting-receiving radiofrequency signal of the above-mentioned RFID label of antenna trapping simultaneously, and modular instrument carries out communication by communication bus cable and remote networking computing machine.
Describedly comprise: rf receiver unit, ADC unit, DAC unit, rf transmitter unit, switch control and communication unit based on the described modular instrument in the automotive electronics radio-frequency (RF) identification parameter detecting system of virtual instrument.
The utility model has the advantages that, native system is mainly by antenna, cable and signal distribution equipment, radio frequency and analog to digital conversion and switch module, LAN bus, compositions such as computing machine, system is by carrying out self check, and calibration is gathered, analyze, software generates functional steps such as whole process report automatically and finishes the radio frequency of RFID parts and detect and measure; Further, native system takes place and the synchronous operation of analysis multimode by the signal of virtual instrument, has solved the path calibration problem that the expensive network analyzer of common needs just can be finished.
Description of drawings
Fig. 1 is the one-piece construction synoptic diagram of the utility model based on the automotive electronics radio-frequency (RF) identification parameter detecting system of virtual instrument;
Fig. 2 is the arrangement plan of the utility model based on the automotive electronics radio-frequency (RF) identification parameter detecting system calibration arrangements-RX path of virtual instrument;
Fig. 3 is the arrangement plan of the utility model based on the automotive electronics radio-frequency (RF) identification parameter detecting system calibration arrangements-transmission path of virtual instrument;
Fig. 4 is the synoptic diagram of the utility model based on the instrument sampled signal array format of the automotive electronics radio-frequency (RF) identification parameter detecting system of virtual instrument;
Fig. 5 is the software flow pattern of the utility model based on the automotive electronics radio-frequency (RF) identification parameter detecting system of virtual instrument.
Embodiment
For further disclosing the technical solution of the utility model, be described with reference to the accompanying drawings embodiment of the present utility model now.
This part peace is set forth embodiment of the present utility model according to following order, but under the situation based on identical utility model design, the utility model is not limited to following embodiment:
One, the parameter of test platform hardware is selected;
Two, the hardware configuration of test platform;
Three, the workflow of system equipment, it is followed successively by: self check calibration flow process, the isolation inspection detects and test;
Four, system software characteristics design, it has guaranteed the realization of native system function and performance;
Five, system software is mainly carried out flow process.
It is as follows now to press the concrete division of said sequence:
[parameter of test platform hardware is selected]
The parameter of test platform hardware selects specifically to comprise following technical indicator:
1. modular instrument partly comprises radio frequency, base band, switch matrix and control circuit;
2. radio frequency comprises up-conversion and down coversion, is respectively applied for signal and sends and receive;
3. base band comprises ADC and DAC module, must be able to work simultaneously, and resolution reaches more than the 14bit; More than the base-band digital sampling clock 40MHz, the sample of memory degree of depth is greater than 64Mb, and the input range dynamic range is greater than 60dB, has real-time triggering function, have the waveform memory function, and can carry out data transmission, or utilize quasi real time bus to control and communicate by letter with LAN or usb protocol;
4. switch matrix is realized the switching of internal radio frequency path, is used for robotization control, is made up of switch, multiplexer and matrix;
Control circuit be responsible for computing machine on measurement of virtual instrument software quasi real time communicate by letter, comprise that trigger mode, incoming level, sampling rate, sampling length, filtering characteristic, signal condition, low noise that module hardware is set amplify, attenuation function, make the signal that reaches radio-frequency module be in the optimum linear scope of work, guarantee undistorted input;
6. computing machine is a Long-distance Control, needn't be in same place with measured piece, because the often dangerous factor of the testing environment of automotive electronics comprises existence such as excessive radiation and high-power power amplifier, so tester's external control overall flow at the scene;
7. the placement location of emitting antenna and receiving antenna and measured piece be in effective horizon range, do not have between the path to cover and stop;
8. the minimum radio frequency isolation degree of the placement of emitting antenna and receiving antenna is 30dB, and situation must guarantee 55dB usually;
9. the placement direction of emitting antenna and receiving antenna must be isolated to carry out the space greater than 30 degree angles, the antenna distance 30cm of being separated by at least;
10. emitting antenna and receiving antenna belong to high-gain and directive antenna, and the antenna main lobe width is less than 50 degree;
11. every of radio-frequency cable length can not surpass 3 meters, by the interface of stationary installation attached cable and antenna, and the assurance position can be measured and record.
Secondly, the radio frequency parameter measuring system of REID is carried out work according to specific flow process, to guarantee precision, degree of stability, but repeatability and traceability.Specifically by the self check process, calibration flow process and detection and testing process are formed.Wherein, the calibration flow process is the basis of all processes, concrete enforcement is sent and the receiver module realization by the signal of hardware components, controls the virtual instrument module automatically by software and sends set specific frequency signal and receive set specific frequency signal simultaneously, and guarantee that the signal to noise ratio (S/N ratio) of operation satisfies 30dB.
[hardware configuration of test platform]
Fig. 1 is the one-piece construction synoptic diagram of the utility model based on the automotive electronics radio-frequency (RF) identification parameter detecting system of virtual instrument, comprise among the figure: modular instrument 1, emitting antenna 2, receiving antenna 3, measure antenna 4, measured piece 5, remote networking computing machine 6, measure radio-frequency cable 7, control and communication bus cable 8, and radio-frequency cable 9, wherein, modular instrument 1 is connected with antenna by radio-frequency cable 9, modular instrument 1 sends pumping signal and responds the radiofrequency signal that this pumping signal is fed back by receiving antenna 3 reception RFID labels by the RFID label of emitting antenna 2 to measured piece 5 places, the transmitting-receiving radiofrequency signal that while modular instrument 1 is caught above-mentioned RFID label by measurement antenna 4 promptly responds the radiofrequency signal that this pumping signal is fed back to pumping signal and the RFID label that the RFID label sends, and modular instrument 1 carries out communication by communication bus cable 8 and remote networking computing machine 6.Particularly, comprise in the described modular instrument 1: rf receiver unit, ADC unit, DAC unit, rf transmitter unit, switch control and communication unit.
Detection system of the present utility model combines by software and hardware, thereby by software and the mutual work compound of hardware the receiving and transmitting signal analysis of tested RFID radio-frequency (RF) identification is finished the detection of RFID electronic tag is judged promptly whether tested RFID electronic tag is qualified.Concrete testing process will be described in detail with the lower part.
[workflow of system equipment]
Native system equipment is divided in the course of the work:
Self check calibration flow process;
Isolation is checked;
Detect and test.
Whether above-mentioned three parts are qualified in order to the radio frequency link overall isolation degree of judging system, and the receiving and transmitting signal to the RFID radio-frequency (RF) identification on qualified basis carries out check and analysis.
The concrete objective for implementation and the operating process of these 3 flow processs are described respectively below.
Self check calibration flow process, its at object be successively respectively:
Software subsystem;
PXI or LXI virtual instrument control module are generally zero groove unit;
Baseband circuit, ADC, DAC unit;
Radio frequency and frequency changer circuit unit.
The calibration flow process is:
1. software subsystem self integrity checking;
2. software subsystem is communicated by letter with the virtual instrument control module, and the instrument rreturn value is for correctly carrying out next step, otherwise mistake and handling up to by this step;
3. system's output radio-frequency (RF) calibration signal switches by transmission antennas transmit by switch;
4. switch by the receiver of receiving antenna received signal by switch to system;
5. emissive power is deducted the signal power that receives and obtain isolation, pass through greater than 50dB, otherwise mistake and handling up to by this step.
Isolation checks that it checks that object is respectively:
The loss of read write line transmission path;
The loss of read write line RX path;
Emitting antenna and receiving antenna isolation.
Fig. 2 is the arrangement plan of the utility model based on the automotive electronics radio-frequency (RF) identification parameter detecting system calibration arrangements-RX path of virtual instrument, Fig. 3 is the arrangement plan of the utility model based on the automotive electronics radio-frequency (RF) identification parameter detecting system calibration arrangements-RX path of virtual instrument, and the concrete operations flow process is:
1. calibrate according to " automotive electronics radio-frequency (RF) identification radio frequency parameter system calibration configuration-RX path " arrangement plan of Fig. 2, the path loss of working frequency points is recorded as L1;
2. calibrate according to " automotive electronics radio-frequency (RF) identification radio frequency parameter system calibration configuration-transmission path " arrangement plan of Fig. 3, the path loss of working frequency points is recorded as L2;
3. calibrate according to the operate as normal arrangement plan of Fig. 1, the transmission of working frequency points and reception isolation are recorded as L3;
4. check whether L1+L2＜L3 sets up, if set up then the radiofrequency signal that the signal leakage that sent by transmitting terminal reflects less than measured object to the radiofrequency signal of receiving end be described, detection is passed through, guarantee the correctness of method of testing and result's degree of accuracy by this committed step, otherwise the isolation L1+L2 of being not up to standard＜L3 is false, this moment, check system and adjust the place was last up to satisfying above-mentioned formula.Supplementary notes be that this step has been considered antenna gain, and think the antenna gain of label with reference to transmission, receive and measure the parameter of antenna 4, this sets up in radio system.
Detecting and testing process, is the radio frequency parameter measuring system normal running flow process of REID, and its objective for implementation comprises:
Antenna-emitting antenna, receiving antenna;
Equipment under test-automotive electronics RFID module;
Active devices-read write line;
Radio frequency receives the control module of instrument;
Radio frequency receives instrument;
The software analysis module.
Carry out the processing of radiofrequency signal according to the following steps order, analyze and measure:
1. utilize software control switch, antenna is worked in transmit and receive the arrangement of antennas form;
2. according to the scope of the running parameter of tested label, typical read write line parameter is set.The read write line operate as normal is in " identification " (making an inventory) state, discerns and returns the recognition result record of nominal continuously and put on record being arranged in electronic tag on the automobile;
3. the zero groove of software control instrument is provided with the parameter of sampling, and parameter comprises expectation power, centre frequency, and bandwidth, time span, sampling rate and overtime is worked under the parameter that is provided with by zero groove control radio frequency and Base Band Unit;
4. whether the signal that obtains before the timer expiry belongs to effective reception, satisfy defaultly from the time-domain sampling signal authentication length obtained and power, does not satisfy and then returns the system that the first step checks that read write line and electronic tag are formed and guarantee that they are in operate as normal;
By software to the sampled data analysis, at first analyze time domain and frequency spectrum and frequency of operation, guarantee that sampled signal has comprised expectation instruction, and instruction satisfies normal frequency tolerance state, if can not normally analyze, returned for the 3rd step and check and debugging;
6. sampled data is analyzed the trial solution adjusting data, find demodulation parameter automatically by searching algorithm software, data rate for example, modulation system, pilot frequency mode, digital coding, parameters such as check code, these all will be realized by this detection system software;
7. enter the protocol parameter analysis phase after demodulation finishes, to the sampled data analysis instruction at interval, instruction type and kind, and whether the MAC layer decoder of instruction is correct;
8. finish the detection task of measuring, output report, software report that automatically whether the electronic tag of this test is by setting thresholding and standard.
More than the 4th the step after all be software function, these functions are by a radio frequency, agreement and signaling software module realize, particularly, this software module is carried out the each side analysis according to the definition of standard (for example ISO IEC 18000 – 6 C etc.) to sampled data, and this is one of core of this detection system.
[system software characteristics design]
The software design of native system has following characteristic to guarantee the function and the performance of " based on the automotive electronics radio-frequency (RF) identification parameter detecting system of virtual instrument ":
1. quasi real time communicating by letter of authenticating computer and virtual instrument hardware module realized by closed-loop communication such as similar ping instruction;
2. check the hardware effort state, whether saturated such as front end particularly, whether base band overflows, and whether parameter setting and reading back coincide;
3. pre-service: the IQ vector signal that obtains is handled, guaranteed that subsequent operation is feasible.For comprising interference, low-frequency ripple fluctuates, and direct current can be done Filtering Processing.The simplest is that iq data filtering DC component and low frequency component are handled; Select the outer filter order that suppresses of suitable band edge steepness and band to carry out; Keep the variation and the details of RFID signal, only remove its DC power, so signal can not calculate radio-frequency power after the filtering.The code check of RFID forward signal is 26.7K-128Kbps, so the filtering cutoff frequency can be selected 2.6KHz; The data transfer rate 40K-640Kbps of reverse link signal, symbol rate 40K-5.12Msps, the filtering cutoff frequency can be selected 4KhZ.Comprehensively above-mentioned, can select 2.6KHz high-pass filtering and DC filter.In addition, note phase delay, SSB palpus linear process, and the FIR wave filter is preferential;
4. survey: feature judges whether the RFID signal occurs.Be the training detuner, fibrous root is surveyed signal factually and is asked for decision threshold.Particularly, survey this stage according to actual performance and be output as decision threshold level, can consider to handle together in conjunction with the burst location;
5. burst Burst locatees: all target analysiss instructions that intercept and capture the search volume.(forward direction, oppositely) because uncertain relative phase concerns between existence and the carrier wave, signal section therefore need happen suddenly detection.This step is by becoming simple after straight, the maximum cycle of RFID forward signal is about 100us, the maximum cycle of reverse signal is about 7ms (40K speed rates 255bit data), both length differ bigger, both depth of modulation are often different, also be that peak-to-average force ratio differs greatly, signal section power also has a little difference in addition.Under best relative phase relation, forward signal is than the low 2.7dB of carrier wave, and oppositely than the big 2.5dB of carrier wave.Under the situation that putative signal exists, can detect with following algorithm: a. calculates the amplitude mean value of signal in the setting of anticipation cycle; B. with 2 times of this unit to overall signal divide the cutting apart of stack (the first half that is next section in fact be exactly leading portion back half, be shown in Figure 4 11,12,13 signal subsection), (hiding hypothesis-signal entire length greater than 2 times of minimal detection period)-this section is the most key to be made as the N section; C. this N value is carried out sort, relatively, and ordering; D. ask Amax[i] and Amin[i], i represents the signal segment in N cycle, and the mean intensity of Aaverg=integral body; E. set a decision threshold, think that burst occurs, for example, 3Amin＜Aaverg＜Amax/3, we think and burst occurs, and the suspicious paragraph of mark can have a plurality ofly, and default maximum demodulation support is 128 burst for example; F. utilize appropriate Cycle Length, search window, comparison threshold obtains the burst position.Above step is Rough Inspection, and parameter can fine tuning;
6. screen: further judge whether to be instruction.Comprise signal section and generally roughly can drop in 2 sections detection windows, at this moment need the window in the above-mentioned steps is reduced to the length of minimum symbol period, carry out not overlapping retrieval, find the true rising of signal, the position of decline section is noted.Check whether signaling zone segment length and target setting mate,, next separate to be in harmonious proportion and measure if all pass through;
7. preceding reverse differentiation: supposition only needs at forward direction with when oppositely existing simultaneously to distinguish, because by every straight filtering, forward direction has not existed with the phase relation of reverse relative carrier wave direct current.But, remember that we have original signal, can compare: the first step, adjust back original iq data by the time location of signal, if find following information then think backscattered signal: it also is that the amplitude integration of signal is slightly greater than carrier amplitude, if find the depth of modulation of signal that amplitude is positioned on the carrier wave〉95% then think and be forward direction PRASK signal;
8. demodulation: the aforementioned result who searches is numbered with reverse according to forward direction respectively, deposit temporarily, forward signal calls the forward direction demodulating algorithm, reverse signal calls reverse demodulating algorithm, the bit accuracy that inspection demodulates, check logical mistake rate in the demodulation, makeing mistakes surpasses to a certain degree, changes the new demodulation of parameter renegotiation or changes direction demodulation once more.In addition, according to agreement, by MAC layer information, promptly detect forward direction query instruction earlier, obtain carrying out reverse demodulation after the reverse physical layer configuration, this is suitable for the ISO18000-6C system;
9. make mistakes and handle: be divided into that Physical layer is made mistakes and the MAC layer is made mistakes.Though Physical layer represents that some bit is incorrect, major part can be correctly by demodulation, and the bit demodulation behind the incorrect bit can recover normally, for example distortion that causes of burr and overshoot etc., and this cannot solve by self.The MAC situations such as CRC is not inconsistent of for example makeing mistakes are considered the conflict of reflex times simultaneously of many labels, and this also can be discerned by judging lead code, but this situation can't be accomplished demodulation simultaneously, unless more inputs are arranged;
10. signal imprinting: each is able to the instruction of correct demodulation, all will write down its physical layer parameter and MAC parameter with each demodulated symbols.Physical layer comprises 3. symbol lengths, 4 .PW, 5. dutycycles, 6. high level ON amplitudes, 7. low level OFF amplitudes, 8. data rates 9,2. fall time of 1. rise time. zero-time 10. and the time of the previous order fulfillment of the same type of time 15. distances of the previous order fulfillment of termination time 11. persistence lengths, 12. positive overshoot 13. negative overshoot 14. distances; The MAC layer parameter has only instruction just to have, comprise: 1. Delimiter length 2. Tari 3. TRCAl 4. RTCal 5. TRext 6. pilot tone modes 7. CRC whether consistent 8. have or not error code 9. have or not logic error (the PHY layer of separating timing is unusual) 10. oppositely or forward direction 11. instruction names claim – to can be used as a criterion 12. each parameter result 13 of demodulation success or not. having does not have to adjudicate phenomenon, in reverse tail.In sum, Physical layer just comprises 15 parameters, and the MAC layer comprises 13 parameters.The demodulation result of MAC can be as next step protocal analysis process;
11. result's output: with figure, modes such as literal or form represent said process and result to operating personnel, and the information of attached necessity.
[system software is mainly carried out flow process]
Fig. 5 is the software flow pattern of the utility model based on the automotive electronics radio-frequency (RF) identification parameter detecting system of virtual instrument, and corresponding with above-mentioned [system software characteristics design], native system software is mainly carried out flow process and comprised: the software self check, Equipment Alignment, environment calibration, sampling, measure fault handling:
Particularly, the software self check is used for checking whether the environment of running software possesses, and for example whether the driver of PXI virtual instrument indispensability exists, if can not find crucial the driving, program will operate in the pure software pattern, i.e. join dependency hardware facility not;
Equipment Alignment is used for checking for example signal analyse block of hardware cell, signal generating module, the state of zero groove main frame, read its error status by drivings such as LXI, instrument must be returned as no error and can operate, otherwise the oneself state of these instruments can not guarantee that test result is correct;
The algorithm that the environment calibration utilizes above-mentioned " inspection of calibration and isolation " part to mention is realized, promptly guarantees the minimum requirements of forward path loss and reverse path loss stack greater than isolation;
Sampling element is initiated by software, requires hardware to sample, the hardware return results or overtime after, software is checked data, if find to have signal instruction to be analyzed in the data then enter the measurement entity; And if result data is incorrect, exceed standard, overtime, perhaps do not comprise any signal instruction that can analyze, then reenter sampling operation, until valid data arrive at, not corresponding not the repeating them here of " pre-service " to " examination " part of this part and above-mentioned [system software characteristics design];
" preceding reverse differentiation " and corresponding not the repeating them here of " demodulation " part of the software module of measuring phases and above-mentioned [system software characteristics design], the measurement function of finishing has " time domain measurement ", " frequency domain measurement ", " demodulation measurement ", " signalling analysis " 4 major parts, these several parts are progressive, with the physical layer parameter of acquisition measured signal and the content of MAC agreement, help user's orientation problem reason;
Fault handling partly will be pointed out the problem place to software operation person, and the proper operation environment of offering help and how to recover software.
By adopting technique scheme, the utility model has solved the standard format problem that the traditional measurement instrument can't be measured, and has expanded the signal analysis mode of instrument; Solved the signal analysis problem of virtual instrument in automotive electronics is used simultaneously, the algorithm of communication has been implanted computing machine, thus the production line test demand that many standard demodulation, analysis and the statistics etc. of solution virtual instrument are researched and developed checking and manufactured.And native system has solved the path calibration problem that the expensive network analyzer of common needs just can be finished by the signal generation and the synchronous operation of analysis multimode of virtual instrument.
More than, basic design of the present utility model and ultimate principle have been set forth by description of listed embodiment.But the utility model never is limited to above-mentioned listed embodiment, and every equivalent variations, improvement and deliberately of inferior quality behavior of doing based on the technical solution of the utility model of change all should belong to protection domain of the present utility model.
Claims (2)
1. automotive electronics radio-frequency (RF) identification parameter detecting system based on virtual instrument, it is characterized in that, this system comprises: modular instrument (1), emitting antenna (2), receiving antenna (3), measure antenna (4), measured piece (5), remote networking computing machine (6), measure radio-frequency cable (7), control and communication bus cable (8), and radio-frequency cable (9), wherein, modular instrument (1) is connected with antenna by radio-frequency cable (9), the RFID label that modular instrument (1) is located to measured piece (5) by emitting antenna (2) sends pumping signal and receives the RFID label by receiving antenna (3) and responds the radiofrequency signal that this pumping signal is fed back, modular instrument (1) is caught the transmitting-receiving radiofrequency signal of above-mentioned RFID label by measuring antenna (4) simultaneously, and modular instrument (1) carries out communication by communication bus cable (8) and remote networking computing machine (6).
2. the automotive electronics radio-frequency (RF) identification parameter detecting system based on virtual instrument according to claim 1, it is characterized in that described modular instrument comprises in (1): rf receiver unit, ADC unit, DAC unit, rf transmitter unit, switch control and communication unit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201120128082XU CN202075748U (en) | 2011-04-27 | 2011-04-27 | Automobile electronic radio-frequency identification parameter detection system based on virtual instrument |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201120128082XU CN202075748U (en) | 2011-04-27 | 2011-04-27 | Automobile electronic radio-frequency identification parameter detection system based on virtual instrument |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN202075748U true CN202075748U (en) | 2011-12-14 |
Family
ID=45113842
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201120128082XU Expired - Fee Related CN202075748U (en) | 2011-04-27 | 2011-04-27 | Automobile electronic radio-frequency identification parameter detection system based on virtual instrument |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN202075748U (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102298685A (en) * | 2011-04-27 | 2011-12-28 | 昆山启业检测校准技术有限公司 | Automotive electronic radio-frequency identification parameter detecting system based on virtual instrument |
-
2011
- 2011-04-27 CN CN201120128082XU patent/CN202075748U/en not_active Expired - Fee Related
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102298685A (en) * | 2011-04-27 | 2011-12-28 | 昆山启业检测校准技术有限公司 | Automotive electronic radio-frequency identification parameter detecting system based on virtual instrument |
| CN102298685B (en) * | 2011-04-27 | 2014-04-30 | 昆山启业检测校准技术有限公司 | Automotive electronic radio-frequency identification parameter detecting system based on virtual instrument |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102298685B (en) | Automotive electronic radio-frequency identification parameter detecting system based on virtual instrument | |
| US9014232B2 (en) | Method and system for optimizing the use of the radio spectrum and computer program product therefor | |
| Khasgiwale et al. | Extracting information from tag collisions | |
| CN103873162A (en) | Spectral interference detection device and method | |
| CN108226921A (en) | Secondary radar information processing system based on CPU and GPU architecture | |
| CN103728602A (en) | Automatic detecting system of S mode responder | |
| CN109975772B (en) | Multi-system radar interference performance detection system | |
| CN103280006B (en) | Intelligent key detecting system and method | |
| US11569935B2 (en) | Concept for the analysis of a radio communication system | |
| CN114584227B (en) | Automatic burst signal detection method | |
| CN112988489A (en) | Method, device, equipment and storage medium for testing radio frequency chip | |
| EP1929428B1 (en) | Automatic data collection device, method and article for avoiding interference | |
| CN101031126B (en) | Path-measuring receiver and method for processing base-band signal | |
| CN103069726A (en) | Decision directed antenna diversity in radio frequency receivers | |
| CN202075748U (en) | Automobile electronic radio-frequency identification parameter detection system based on virtual instrument | |
| CN201654821U (en) | A radio frequency identification electronic tag simulator | |
| CN106896380A (en) | A kind of adaptive navigation signal acquisition methods and device | |
| CN113300986A (en) | Unmanned aerial vehicle image transmission signal and hotspot signal identification method, medium and computer equipment | |
| CN107908987A (en) | Passive UHF RFID tags reader agreement compliance test device | |
| Angrisani et al. | A measurement method based on time-frequency representations for testing GSM equipment | |
| CN101060684B (en) | Reverse interference positioning system, wireless signal acquisition entity and device | |
| RU71449U1 (en) | LABEL FOR RADIO FREQUENCY IDENTIFICATION OF THE OBJECT AND SYSTEM FOR DETERMINING COORDINATES AND CONTROL OF OBJECTS | |
| CN116299151A (en) | Amplitude comparison direction finding equipment and method for static or low-speed unmanned aerial vehicle | |
| CN112491764B (en) | Identification method based on instantaneous feature aerial analog signal | |
| CN109085532A (en) | A kind of large aperture Two-dimensional Short Wave direction-finding system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20111214 Termination date: 20140427 |