CN100488453C - Non - contact type method and system for biologic feature recognition based on radio frequency recognition - Google Patents
Non - contact type method and system for biologic feature recognition based on radio frequency recognition Download PDFInfo
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- CN100488453C CN100488453C CNB2007100684839A CN200710068483A CN100488453C CN 100488453 C CN100488453 C CN 100488453C CN B2007100684839 A CNB2007100684839 A CN B2007100684839A CN 200710068483 A CN200710068483 A CN 200710068483A CN 100488453 C CN100488453 C CN 100488453C
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Abstract
A system based on RF recognition for non-contact recognition of biological characteristics of a person is composed of frequency source circuit, antenna, ring device, low-noise amplifier, power distributor, frequency mixer, power amplifier, pre-processing circuit, A/D converter, DSP and computer communication circuit. Its method based on heart pulse is also disclosed.
Description
Technical field
The present invention relates to a kind of device of contactless biometric acquisition of signal, especially relate to a kind of living creature characteristic recognition system based on REID.
Background technology
Biometrics identification technology is to utilize human body biological characteristics to carry out a kind of technology of identification.Biological identification technology is a branch of pattern recognition, and becomes a kind of new authentication means.Biological characteristic is unique (different with other people), is physiological feature or the way of act that can measure or discern automatically and verify, is divided into physiological feature and behavior characteristics.
The technology that contactless Detection Techniques thing proposes in recent years and paid close attention to by the people, wherein contactless life-information Detection Techniques one electromagnetic wave is for surveying media, adopt the radar mode, by contactless detecting breathing, the caused body surface fine motion of heart beating, and then extract required human body biological characteristics parameter.Compare with laser, infrared acquisition and sound wave Detection Techniques, contactless Detection Techniques are without any need for electrode or pick off contact life entity, can in larger distance, detect the biological characteristic (breathing heart beating etc.) of life entity, not be subjected to the influence of ambient temperature, hot object.
RF identification (Radio Frequency Identification:RFID) technology is a kind of emerging contact automatic identification technology, and it utilizes wireless radio frequency mode to carry out the noncontact bidirectional data communication, to reach the purpose of target recognition and swap data.By the automatic recognition objective object of frequency microwave signal and load relevant information, identification work need not manual intervention, can be used to follow the tracks of and manage nearly all physical object, the wide application prospect of sending out is all arranged in various fields such as industrial automation, business automation, traffic management and military affairs.
Carry out the detection and the identification of human body biological characteristics signal with the RFID recognition technology, be different from the RFID identification of common meaning, because need not carry the RFID label that is loaded with data for the individual, obtain the human life parameter signal in contactless mode, by calculating parameter information with the identification different people.
Summary of the invention
The object of the present invention is to provide a kind of contactless biometric recognition system based on RF identification.Can realize the detection and different human individual identification of the biological vital sign signals of remote contactless humanbody by the method.
The technical solution adopted for the present invention to solve the technical problems is:
1. contactless biometric recognition methods based on RF identification:
1) utilize the Doppler frequency shift principle, by microwave radiating circuit launching electromagnetic wave measuring-signal, after this signal process human body cardiopulmonary exercise reflection modulation, breathing and heartbeat message reflection are on doppler shift effect;
2) echo obtains the biological characteristic parameter signal through the quadrature non-coherent demodulation technology of receiving system, obtains respectively breathing and heartbeat signal after separating through pre-process circuit, sends into digital signal processing unit and handles;
3) computing of process data processing unit, thus identify different human individuals, realize identification and authentication to personal identification.
2. contactless biometric recognition system based on RF identification:
Antenna is connected with the output port of circulator; The two ends of receiving filter are connected with the receiving port of circulator and the input port of low-noise amplifier respectively; The output port of low-noise amplifier links to each other with the input port of power splitter; Two output ports of power splitter are connected with the input port of first, second frequency mixer respectively; The input of first pre-process circuit, output port are connected with the output port of first frequency mixer and the input port of first analog-digital converter respectively; The input of second pre-process circuit, output port are connected with the output port of second frequency mixer and the input port of second analog-digital converter respectively; First analog-digital converter and the output port of second analog-digital converter are connected the input port of digital signal processing unit respectively; The output port of digital signal processing unit is connected with serial line interface with frequency source circuit respectively; The output port of serial line interface is connected with computer serial line interface input port; Two output ports of frequency source circuit are connected with the input port of first driving amplifier with second driving amplifier respectively; Inputs such as power amplifier, output port are connected with the input port of circulator and the output port of first driving amplifier respectively; The input port of quadrature phase shift power splitter is connected with the input port of second driving amplifier; Two output ports of quadrature phase shift power splitter are connected with the input port of first, second frequency mixer respectively.
Described first, second pre-process circuit comprises pre-amplification circuit, 10Hz low pass filter, main amplifying circuit, 0.6Hz low pass filter, 0.7Hz high pass filter, back level amplifying circuit, a 50Hz trap circuit and the 2nd 50Hz trap circuit respectively; Wherein, the input port of pre-amplification circuit connects the outfan of frequency mixer, and the output port of pre-amplification circuit is connected with the input port of 10Hz low pass filter; The input port of main amplifying circuit is connected with the output port of 10Hz low pass filter; The output port of main amplifying circuit is connected with the input port of 0.6Hz low pass filter, 0.7Hz high pass filter respectively; Input, the output port of back level amplifying circuit are connected with the output port of 0.6Hz low pass filter and the input port of a 50Hz trap circuit respectively; 0.7Hz the output port of high pass filter is connected with the input port of the 2nd 50Hz trap circuit, the two-way output port of a 50Hz trap circuit and the 2nd 50Hz trap circuit links to each other with the two-way input port of first analog-digital converter respectively; The two-way output port of second pre-process circuit links to each other with the two-way input port of second analog-digital converter respectively.
Described digital signal processing unit is based on the embedded processing systems of DSP or FPGA.
The useful effect that the present invention has is: utilize the RFID technology to carry out the detection and the recognition methods of contactless biological characteristic signal, it need not contact human body, also need not can discern different human individuals by any electrode, have the advantage that present other recognition method are not had.Simultaneously, contactless biometric recognition system based on RF identification of the present invention is used the non-coherent demodulation technology to receive and is detected through the caused vital sign signals of human body surface fine motion, both save complicated receiver local oscillator phase locking circuit, also realized the detection and the identification of higher sensitivity.
Description of drawings
Fig. 1 is a structural principle block diagram of the present invention.
Fig. 2 is a pre-process circuit theory diagram of the present invention.
Fig. 3 is a frequency source circuit circuit diagram of the present invention.
Among the figure: 1, antenna, 2, circulator, 3, receiving filter, 4, low-noise amplifier, 5, power splitter, 6, frequency mixer, 7, frequency mixer, 8, pre-process circuit, 9, pre-process circuit, 10, analog-digital converter, 11, analog-digital converter, 12, digital signal processing unit, 13, frequency source circuit, 14, driving amplifier, 15, power amplifier, 16, driving amplifier, 17, quadrature phase shift power splitter, 18, serial line interface, 19, computer, 20, preamplifier, 21, the 10Hz low pass filter, 22, main amplifying circuit, 23,0.6Hz low pass filter, 24,0.7Hz high pass filter, 25, back level amplifying circuit, 26, the 50Hz trap circuit, 27, the 50Hz trap circuit.
The specific embodiment
If the microwave signal S that frequency source circuit produced (t)=Acos ω
0T, in the formula, ω
0Be the angular frequency that transmits, A is a signal amplitude.After this microwave signal is carried out power amplification by power amplifier, sending into antenna through circulator launches, when the electromagnetic wave signal of launching when antenna runs into human body, produce the specular scattering signal, this signal is the modulation signal of reflection human body biological characteristics parameter signal feature, after antenna receives this echo-signal, enter receiving system by circulator and carry out incoherent quadrature demodulation.
If echo-signal is:
In the formula, K is a coefficient, ω
dBe the doppler angle frequency displacement,
For with respect to the initial phase that transmits.
According to Doppler effect, ω
d=2V ω
c/ C, wherein, V is the relative radial motion speed of target, C is the light velocity.S (t), S
r(t) two paths of signals obtains the homodyne signal after mixing:
In the formula, first DC component that produces for fixed target, second be and breathing, aroused in interest, relevant human life parameter signal such as body moves, is the information that will detect and handle.
The present invention includes frequency source circuit circuit 13, antenna 1, circulator 2, receiving filter 3, low-noise amplifier 4, power splitter 5, power amplifier 15, two driving amplifiers 14,16, two frequency mixers 6,7, two pre-process circuits 8,9 (comprise pre-amplification circuit 20,10Hz low pass filter 21, main amplifying circuit 22,0.6Hz low pass filter 23,0.7Hz high pass filter 24, post-amplifier 25, two 50Hz trap circuits 26,27), two analog- digital converters 10,11, digital signal processing unit 12, serial line interface 18, quadrature phase shift power splitter 17, computer 19 and power circuit etc.
As shown in Figure 1, produce two way microwave signals by frequency source circuit 13, after one road signal carries out power amplification by driving amplifier 14 and power amplifier 15, send into antenna 1 through circulator 2 and launch, the purpose of circulator 2 is to transmit and receive circuit in order to isolate; Other one the tunnel after overdriven amplifier 16 amplifies, split into the two-way orthogonal signalling that phase contrast is 90 degree by quadrature phase shift power splitter 17, one road local oscillation signal input that inserts first frequency mixer 6 wherein, other one the road inserts second frequency mixer, 7 local oscillation signal inputs, the echo-signal through people's volume scattering that antenna 1 receives is delivered to receiving filter 3 and is carried out other interfering signals of filtering via circulator 2 after, after delivering to low-noise amplifier 4 and amplifying, deliver to power splitter 5, behind power splitter 5, split into two paths of signals, be connected to the radio-frequency (RF) signal input end of first frequency mixer 6 and second frequency mixer 7 respectively, the signal output part of first frequency mixer 6 and second frequency mixer 7 is connected to the input of first pre-process circuit 8 and the input of second pre-process circuit 9 respectively, insert first analog-digital converter 10 and second analog-digital converter 11 through pretreated signal, the outfan of first analog-digital converter 10 and second analog-digital converter 11 is connected to the input of digital signal processing unit 12, and then deliver to the serial line interface input of computer 19 by serial line interface 18, through wavelet analysis, after signal processing algorithms such as statistical analysis carry out the computing of correlation function, thereby reach the purpose of human biological characteristic individual identification.
As shown in Figure 2, the pre-process circuit structure that is adopted among the present invention, after input signal at first amplifies through pre-amplification circuit 20, after 21 filtering of 10Hz low pass filter, enter main amplifying circuit 22, insert 0.6Hz low pass filter 23 and 0.7Hz high pass filter 24 respectively through the signal after main amplifying circuit 22 amplifications, amplify through post-amplifier 25 through 0.6Hz low pass filter 23 filtered signals, because the amplitude and the frequency of breath signal are all very low, therefore 25 pairs of breath signals of level amplifying circuit further amplify after increasing one-level, disturb back output breath signal through 50Hz trap circuit 26 filtering power frequencies then, through 0.7Hz high pass filter 24 filtered signals output heartbeat signal after 50Hz trap circuit 27 filtering power frequencies are disturbed.
As shown in Figure 3, described frequency source circuit 13 comprises elements such as ADF4360-0 chip and peripheral resistance thereof, electric capacity, inductance, crystal oscillator.
The concrete model of core components and parts of the present invention is as follows:
1) antenna 1 be ANT_2400_B_K_C12 model dual-mode antenna or voluntarily the design antenna;
2) circulator 2 is a RC-SS-2.4-2.5-CC-10WR model circulator;
3) receiving filter 3 is the SKY33100-360LF chip;
4) low-noise amplifier 4 is the MAX2644 chip;
5) power splitter 5 is the SCN-27 chip;
6) frequency mixer 6 and 7 is the SYM-36H chip;
7) analog- digital converter 10 and 11 is the AD7705 chip;
8) frequency source circuit 13 is the ADF4360-0 chip;
9) driving amplifier 14 and 16 is the SKY65008 chip;
10) power amplifier 15 is the RMPA2455 chip;
11) quadrature phase shift power splitter 17 is the QCN-27 chip;
12) serial line interface 18 is the MAX232 chip;
13) pre-amplification circuit 20 is an operational amplifier OP-27C chip;
14) 10Hz low pass filter 21 is a dual operational amplifier LF353N chip;
15) 0.6Hz low pass filter 23 and 0.7Hz high pass filter 24 are the OP-27C chip;
16) 50Hz trap circuit 26 and 27 adopts dual operational amplifier LF353N chip.
Claims (2)
1. contactless biometric recognition system based on RF identification: antenna (1) is connected with the output port of circulator (2); The two ends of receiving filter (3) are connected with the receiving port of circulator (2) and the input port of low-noise amplifier (4) respectively; The output port of low-noise amplifier (4) links to each other with the input port of power splitter (5); Two output ports of power splitter (5) are connected with the input port of first, second frequency mixer (6,7) respectively; The input of first pre-process circuit (8), two-way output port are connected with the output port of first frequency mixer (6) and the two-way input port of first analog-digital converter (10) respectively; The input of second pre-process circuit (9), two-way output port are connected with the output port of second frequency mixer (7) and the two-way input port of second analog-digital converter (11) respectively; First analog-digital converter (10) and the output port of second analog-digital converter (11) are connected the input port of digital signal processing unit (12) respectively; The output port of digital signal processing unit (12) is connected with serial line interface (18) with frequency source circuit (13) respectively; The output port of serial line interface (18) is connected with computer (19) serial line interface input port; Two output ports of frequency source circuit (13) are connected with the input port of first driving amplifier (14) with second driving amplifier (16) respectively; Power amplifier (15) input, output port are connected with the input port of circulator (2) and the output port of first driving amplifier (14) respectively; The input port of quadrature phase shift power splitter (17) is connected with the input port of second driving amplifier (16); Two output ports of quadrature phase shift power splitter (17) are connected with the input port of first, second frequency mixer (6,7) respectively; It is characterized in that: described first, second pre-process circuit (8,9) comprises pre-amplification circuit (20), 10Hz low pass filter (21), main amplifying circuit (22), 0.6Hz low pass filter (23), 0.7Hz high pass filter (24), back level amplifying circuit (25), a 50Hz trap circuit (26) and the 2nd 50Hz trap circuit (27) respectively; Wherein, the input port of pre-amplification circuit (20) connects the outfan of frequency mixer, and the output port of pre-amplification circuit (20) is connected with the input port of 10Hz low pass filter (21); The input port of main amplifying circuit (22) is connected with the output port of 10Hz low pass filter (21); The output port of main amplifying circuit (22) is connected with the input port of 0.6Hz low pass filter (23), 0.7Hz high pass filter (24) respectively; Input, the output port of back level amplifying circuit (25) are connected with the output port of 0.6Hz low pass filter (23) and the input port of a 50Hz trap circuit (26) respectively; 0.7Hz the output port of high pass filter (24) is connected with the input port of the 2nd 50Hz trap circuit (27); The two-way output port of the one 50Hz trap circuit (26) and the 2nd 50Hz trap circuit (27) links to each other with the two-way input port of first analog-digital converter (10) respectively; The two-way output port of second pre-process circuit (9) links to each other with the two-way input port of second analog-digital converter (11) respectively.
2. a kind of contactless biometric recognition system based on RF identification according to claim 1, it is characterized in that: described digital signal processing unit (12) is based on the embedded processing systems of DSP or FPGA.
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