CN106814358A - The system and method for many human body target detections in a kind of radar for ultra-broadband wall-through - Google Patents
The system and method for many human body target detections in a kind of radar for ultra-broadband wall-through Download PDFInfo
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- CN106814358A CN106814358A CN201710211387.9A CN201710211387A CN106814358A CN 106814358 A CN106814358 A CN 106814358A CN 201710211387 A CN201710211387 A CN 201710211387A CN 106814358 A CN106814358 A CN 106814358A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/887—Radar or analogous systems specially adapted for specific applications for detection of concealed objects, e.g. contraband or weapons
- G01S13/888—Radar or analogous systems specially adapted for specific applications for detection of concealed objects, e.g. contraband or weapons through wall detection
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
- G01S7/411—Identification of targets based on measurements of radar reflectivity
- G01S7/412—Identification of targets based on measurements of radar reflectivity based on a comparison between measured values and known or stored values
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
- G01V3/12—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation operating with electromagnetic waves
Abstract
The invention discloses one kind for many human body target detecting systems and method in ultra-broadband wall-through radar, system includes host computer, data collecting card, radio-frequency module and aerial array, the aerial array is arranged on wall, pattern is received using a hair two, form two paths of data passage, radio-frequency module passes through transmitting antenna transmission signal, reception antenna receives target echo signal, the radio-frequency module docking collection of letters number carries out IF process and sends host computer back to by capture card, host computer is pre-processed to the two paths of signals for receiving, Adaptive Thresholding based on regional area, after multiple target feature extraction, carry out multiple target pairing, it is calculated target location, the information of target numbers.The present invention can remove the false target of the generation such as noise jamming and multipath in known technology.
Description
Technical field
The present invention relates to a kind of system and method for many human body target detections in radar for ultra-broadband wall-through.
Background technology
Ultra-broadband wall-through radar detection be it is a kind of can pass through obstacle detection and positioning inanimate object New Type Radar system
System, needs to penetrate barrier in most cases and detects multiple human body target signals.Because background environment is unknown, clutter is done
Disturb and the multipath effect of strong reflection thing generation can all produce false target, conventional target detection method cannot be rejected, in order to ensure
Maximum Detection accuracy, the selection of object detection method is particularly important.
Usually, under conditions of only noise, a hard -threshold is estimated by approximation method, as the door of detection target
But limit, this method is simple more sensitive to noise spike, easily causes false-alarm；The method of integration detection probability, is to pass through
To setting the goal at certain apart from upper detection probability, the detected probability of multiple target is counted, compared with given detection probability
To determine whether that target is present, the shortcoming of the method is to easily cause missing inspection if the detection probability for giving is too high, and if given
Detection probability it is too low, easily cause false-alarm；Constant false alarm rate detection method, is under the premise of certain false alarm rate, to produce rational
Threshold value so that clutter and interference reach minimum to the influence of system invariable false alerting, and the method not only needs to set rational false-alarm
The rate factor, and when multiple target ranges relatively when, it is easy to produce missing inspection；Small wave converting method is needed in homogeneous background
On the premise of, and there may be many target contexts bigger than human body scattering strength, such as metal in through-wall radar detection background
Furniture etc., institute is not suitable in Through-Wall Radar System in this way yet.
To sum up, above method is respectively provided with limitation, and practicality is poor.
The content of the invention
The present invention is in order to solve the above problems, it is proposed that many human body target detections in a kind of radar for ultra-broadband wall-through
System and method, it is of the invention when being detected to human body target using ultra-broadband wall-through radar, using based on regional area
The falseness of the generations such as Adaptive Thresholding, multiple target feature extracting method and multiple target pairing algorithm removal noise jamming and multipath
Target, to realize the accurate detection of many human body targets after barrier.
To achieve these goals, the present invention is adopted the following technical scheme that：
One kind is for many human body target detecting systems in ultra-broadband wall-through radar, including host computer, data collecting card, radio frequency
Module and aerial array, the aerial array are arranged on wall, and pattern is received using a hair two, form two paths of data passage, are penetrated
By transmitting antenna transmission signal, reception antenna receives target echo signal to frequency module, during the radio-frequency module docking collection of letters number is carried out
Frequency treatment sends host computer back to by capture card, host computer pre-processed to the two paths of signals for receiving, based on regional area from
After adapting to threshold method, multiple target feature extracting method, multiple target pairing is carried out, be calculated the letter of target location, target numbers
Breath.
Further, data collecting card and radio-frequency module have synchronous triggering clock by external signal source.To realize
The full coherent of data.
One kind is used for many human body target detection methods in ultra-broadband wall-through radar, including：
(1) antenna received using a hair two receives two-way echo-signal, after data collecting card gathered data, to two paths of data
Pre-processed, echo data division each time, unified representation, Fourier transformation, modulus and cumulative are moved according to direct wave
Except method removes straight coupling and wall back wave, the minimum distance and maximum distance of search coverage are determined, interception useful data is interval；
(2) using the adaptive threshold method based on regional area, the point of threshold value is remained larger than, less than and equal to threshold value
Point is then set to zero；
(3) multiple target feature extracting method is utilized, false target or noise jamming is removed；The side of multiple target feature extraction
Method process is：Judge whether it is false letter in terms of the range cell number two being spaced between shared range cell number and adjacent target
Number, the range cell number that the signal envelope of single UNICOM is included is real goal more than certain value i.e. judgement, is otherwise judged as
False target；The range cell number being spaced between adjacent signal envelope two-by-two is to judge it is two independent more than certain value
Target, is otherwise judged as an independent target.
(4) each echo signal to two passages is matched two-by-two, matches algorithm using multiple target, it is ensured that the two of pairing
Individual echo signal comes from same human body target.
In the step (1), specifically include：
(1-1) receives two-way echo-signal using the antenna that a hair two is received, after data collecting card gathered data, to two ways
According to being pre-processed, echo data each time is divided into multiple range cells；
The data of the same range cell of (1-2) unified representation, to receive data enter successively row distance to Fourier transformation,
Doppler obtains complex data form to Fourier transformation, to its modulus；
(1-3) carries out addition accumulation to the data of same range cell, and straight coupling and wall are removed according to direct wave removing method
Body back wave, determines the minimum distance and maximum distance of search coverage, and interception useful data is interval.
In the step (2), envelope width is more than certain threshold value N, and certain threshold value M is more than with the spacing of adjacent envelope, then take this
The barycenter of envelope is used as effective target position；Otherwise envelope width is less than certain threshold value N, or is smaller than certain threshold with adjacent envelope
Value M, then be considered as false target or noise jamming, is rejected.
In the step (2), the process of the adaptive threshold method based on regional area is as follows：
(2-1) data length for obtaining of pretreatment is from NminStart to NmaxTerminate, by this interval division for multiple detections are single
Unit, each element length is L；
(2-2) averages to L data, and result of this average value with whole interval average plus factor C is compared；
(2-3) takes detection threshold value of the higher value as this detection unit, the amplitude in detection unit if greater than threshold value then
Retain, be otherwise set to 0, the wherein determination of factor C is determined by the overall region average value of background environment；
(2-4) second original position of detection unit and first starting position interval L of detection unitminIt is individual, successively
Analogize, whole interval threshold value is determined one by one, wherein LminValue determined by human motion speed and data acquisition rate.
In the step (3), the procedure of multiple target feature extraction is：From shared range cell number and adjacent target it
Between the aspect of range cell number two that is spaced judge whether it is spurious signal, the range cell number that the signal envelope of single UNICOM is included
Mesh is that judgement is real goal more than certain value, is otherwise judged as false target；It is spaced between adjacent signal envelope two-by-two
Range cell number is to judge it is two independent targets more than certain value, is otherwise judged as an independent target.
In the step (4), according to through-wall radar signal propagation path and the relation of the spacing of reception antenna, target is built
Pairing.
In the step (4), if first passage target numbers are more than second channel target numbers, the first of first passage
Individual target range value is subtracted each other with each target range value of second channel, if minimal difference is less than or equal to two reception antennas
Spacing, then produce the target pairing in two passages of minimal difference, if minimal difference is more than the spacing of two channel reception antennas,
The first aim for then thinking first passage is decoy.
In the step (4), i-th target range value and remaining unpaired target of second channel of first passage
Distance value subtracts each other, if minimal difference is less than or equal to two spacing of reception antenna, in two passages of generation minimal difference
Target is matched, if minimal difference is more than the spacing of two channel reception antennas, then it is assumed that this target of first passage is decoy.
Compared with prior art, beneficial effects of the present invention are：
The present invention improves the accuracy of target detection one by one in terms of three.First on threshold method, according to multiple targets
The characteristics of in the presence of simultaneously, threshold value is calculated in regional area, there is certain inhibition to noise jamming；Next analyzes mesh
Feature between sample body and adjacent target, is further filtered out by the falseness of the generations such as multipath by the method for extracting target signature
Target；It is again based on the relevance of target between passage, it is proposed that target matches algorithm.By the treatment of three aspects, can go
Except false target, target detection probability is effectively improved.
Brief description of the drawings
The Figure of description for constituting the part of the application is used for providing further understanding of the present application, and the application's shows
Meaning property embodiment and its illustrated for explaining the application, does not constitute the improper restriction to the application.
Fig. 1 system embodiment schematic diagrames；
Fig. 2 algorithm flow charts；
The adaptive thresholding value detection method schematic diagram of Fig. 3 regional areas；
Object judgement schematic diagram in Fig. 4 one-dimensional range profiles；
Fig. 5 through-wall radar signal propagation path schematic diagrames；
Fig. 6 matches scheme flow chart；
One-dimensional distance after Fig. 7 pretreatments is to figure；
Fig. 8 adaptive threshold detects schematic diagrams；
Fig. 9 multiple target feature extraction schematic diagrames.
Specific embodiment：
The invention will be further described with embodiment below in conjunction with the accompanying drawings.
It is noted that described further below is all exemplary, it is intended to provide further instruction to the application.Unless another
Indicate, all technologies used herein and scientific terminology are with usual with the application person of an ordinary skill in the technical field
The identical meanings of understanding.
It should be noted that term used herein above is merely to describe specific embodiment, and be not intended to restricted root
According to the illustrative embodiments of the application.As used herein, unless the context clearly indicates otherwise, otherwise singulative
Be also intended to include plural form, additionally, it should be understood that, when in this manual use term "comprising" and/or " bag
Include " when, it indicates existing characteristics, step, operation, device, component and/or combinations thereof.
As background technology is introduced, limitation is respectively provided with the prior art, practicality is poor.
In order to solve the above problems, the present invention provides a kind of side of human body target detection in radar for ultra-broadband wall-through
Method, including：
(1) pre-process：
What formula (1) was represented is the echo-signal collected by capture card.The common M distance of echo data is single each time
Unit, after often receiving n times, to all data processings once.
Carry out K Fourier transformation to echo data each time first, wherein K be equal to or more than M 2 integer
Power, obtains frequency domain data, as shown in formula (2)：
The data of same range cell in formula 2 are collectively expressed as [X (0), X (1) ... X (N-1)], then to N number of data
N times Fourier transformation is carried out, the data mode being similarly obtained is plural number, to its modulus, is obtained as shown in formula (3)：
Data to same range cell in (3) formula carry out addition accumulation, obtain [D (0), D (1) ... D (K-1), then
Straight coupling and wall back wave are removed according to direct wave removing method, the minimum distance R of search coverage is determinedminAnd maximum distance
Rmax, according to formula (4) and formula (5), interception useful data is interval, obtains [X (Nmin), X (Nmin+ 1) ... X (Nmax)]。
Wherein, B is pulse bandwidth, and c is the light velocity, and T is the signal period, and fs is the sample rate of capture card.
(2) point of threshold value is remained larger than using the adaptive threshold method based on regional area to the result in (1), it is small
In being then set to zero with the point equal to threshold value.
(3) multiple target feature extracting method, i.e. envelope width are performed to the result in (2) and is more than certain threshold value N, with adjacent bag
The spacing of network is more than certain threshold value M, then take the barycenter of this envelope as effective target position；Otherwise envelope width is less than certain threshold value N,
Or be smaller than certain threshold value M with adjacent envelope, then it is considered as false target or noise jamming, rejected.
After echo-signal difference execution of step (1)~(3) of (4) two passages, to each echo signal of two passages
Matched two-by-two, algorithm is matched using multiple target, it is ensured that two echo signals of pairing are come from same human body target.
In step (2), the process of the adaptive threshold method based on regional area is as follows：
1) data length that obtains of pretreatment is from NminStart to NmaxTerminate, be multiple detection units by this interval division,
Each element length is L；
2) L data are averaged, result of this average value with whole interval average plus factor C is compared；
3) detection threshold value of the higher value as this detection unit is taken, the amplitude in detection unit is then protected if greater than threshold value
Stay, be otherwise set to 0, the wherein determination of factor C is determined by the overall region average value of background environment；
4) second original position of detection unit and first starting position interval L of detection unitminIt is individual, class successively
Push away, whole interval threshold value is determined one by one, wherein LminValue determined by human motion speed and data acquisition rate.
In the step (3), the procedure of multiple target feature extraction is as follows：
Signal after being processed by step (2) can be from the distance being spaced between shared range cell number and adjacent target
The aspect of unit number two judges whether it is spurious signal.The range cell number that the signal envelope of single UNICOM is included exceedes certain value
Judge it is real goal, be otherwise judged as false target；The range cell number being spaced between adjacent signal envelope two-by-two
It is to judge it is two independent targets more than certain value, is otherwise judged as an independent target.
In the step (4), multiple target pairing algorithmic procedure is as follows：
If first passage target numbers be more than second channel target numbers, the first aim distance value of first passage with
Each target range value of second channel is subtracted each other, if minimal difference is produced less than or equal to the spacing of two channel reception antennas
Target pairing in two passages of minimal difference, if minimal difference is more than the spacing of two channel reception antennas, then it is assumed that first
The first aim of passage is decoy, is given up；I-th target range value of first passage is unpaired with second channel
Remaining target range value is subtracted each other, if minimal difference produces minimal difference less than or equal to the spacing of two channel reception antennas
Target pairing in two passages, if minimal difference is more than the spacing of two channel reception antennas, then it is assumed that this mesh of first passage
Mark is decoy, is given up；The like.
In a kind of typical implementation method of the application, as shown in figure 1, a kind of for many human bodies in ultra-broadband wall-through radar
Object detection system, is made up of host computer, data collecting card, radio-frequency module and aerial array.Host computer is used for parameter setting, number
According to storage, data processing and display；Data collecting card is responsible for the collection of data；Radio-frequency module is used for signal and produces, launches, receives
And IF process；Aerial array receives pattern using a hair two, forms two paths of data passage.In order to realize the full coherent of data, data
Capture card and radio-frequency module need external signal source to provide the triggering clock for keeping both synchronous.Radio-frequency module passes through transmitting antenna
Transmission signal, reception antenna receives target echo signal, and the radio-frequency module docking collection of letters number is carried out IF process and sent by capture card
Host computer is returned, host computer obtains target location, the information of target numbers and makes display after processing signal.
As shown in Fig. 2 being algorithm flow chart.Echo data first to each passage is pre-processed, and obtains one-dimensional
Distance signal, the adaptive threshold based on regional area is carried out to one-dimensional distance signal, and preliminary screening is carried out to target；Then root
Accurate target location is further determined that according to target signature, false target is weeded out；Matched between last two channel targets, obtained
Target number and positional information.
The data length that obtains of pretreatment is from NminStart to NmaxTerminate, target data is comprising interval interior herein；By interval
Multiple detection units are divided into, each element length is L, and L data are averaged, this average value adds with whole interval average
The result of upper factor C is compared, and takes detection threshold value of the higher value as this detection unit；If the amplitude in detection unit is big
Then retain in threshold value, be otherwise set to 0；The wherein determination of factor C is determined by the overall region average value of background environment.Such as Fig. 3 institutes
Show, be flow chart that first detection unit is performed, second original position of detection unit rises with first detection unit
Beginning location interval LminIt is individual, wherein LminValue determined by human motion speed and data acquisition rate, the like, it is whole interval
Threshold value be determined one by one.
As shown in figure 4, being by the signal schematic representation after treatment.Noise jamming has been filtered out, and only retains possible mesh
Mark signal envelope.Assuming that being judged as that the envelope width required by real goal is 1, the signal envelope between 2-3 has reached bag
Network width requirement, is considered as target 1.Envelope width between 5-6 reaches 1, but also has envelope between 7-8, but wide
Degree is less than 1, and spacing is too small between the two, that is, be considered as a target.Envelope width between 10-11 is judged to less than 1
Break is with the presence of 2 real goals in false target, therefore Fig. 4.Pairing and location algorithm after for convenience, by target bag
The centroid position of network is set to target location.
As shown in figure 5, be simplified through-wall radar signal propagation path, between transmitting antenna and two-way reception antenna away from
From respectively d1 and d2.Complete signal path is that transmitting antenna sending signal reaches target, and target echo is arrived separately at
Reception antenna 1 and reception antenna 2, thus reception antenna 1 signal propagation path r0 and r1 sums, the signal of reception antenna 2 passes
Path r0 and r2 sums are broadcast, the difference of two propagation paths is the difference of r1 and r2.Ignore the influence of wall internal refraction, path
The spacing three composition triangle of r1, r2 and reception antenna 1 and 2, it should which the difference for meeting triangle theorem formula r1 and r2 is less than d1
With d2 sums, therefore target pairing can be carried out using the method.
So that first via target numbers are less than the second tunnel target numbers as an example, pairing protocol procedures are as shown in Figure 6.If first
Road target numbers are more than the second tunnel target numbers, then be circulation with the second tunnel, paired target, flow in the searching first via
It is identical with Fig. 6.
Fig. 7 gives two-way receiving channel by the one-dimensional distance after pretreatment to figure.From first via one-dimensional distance to
In figure and the second tunnel one-dimensional distance has three envelopes to can be told in figure, three human body target locations are represented respectively,
Envelope wider width, because transmission signal can be reflected by any position of human body, therefore shows as multiple on signal
The envelope of point composition；But multiple small peaks are contained, it is necessary to further screen target again in three envelopes.
Fig. 8 gives the adaptive threshold figure based on regional area.It can be seen that the threshold value of each point can basis
Current signal magnitude changes and changes, and has adapted to signal amplitude Changing Pattern, has filtered out all possible target location.
It is as shown in Figure 9 the target number situation obtained according to target's feature-extraction criterion, the first via has three targets, the
There are four targets on two tunnels；Algorithm is matched according to target, the target 1,2,3 of two-way can correspond pairing, and the mesh on the second tunnel
4 are marked on first via correspondence position without target, therefore is judged as false target, rejected.
The preferred embodiment of the application is the foregoing is only, the application is not limited to, for the skill of this area
For art personnel, the application can have various modifications and variations.It is all within spirit herein and principle, made any repair
Change, equivalent, improvement etc., should be included within the protection domain of the application.
Although above-mentioned be described with reference to accompanying drawing to specific embodiment of the invention, not to present invention protection model
The limitation enclosed, one of ordinary skill in the art should be understood that on the basis of technical scheme those skilled in the art are not
Need the various modifications made by paying creative work or deformation still within protection scope of the present invention.
Claims (10)
1. a kind of for many human body target detecting systems in ultra-broadband wall-through radar, it is characterized in that：Including host computer, data acquisition
Card, radio-frequency module and aerial array, the aerial array are arranged on wall, and pattern is received using a hair two, form two paths of data
Passage, by transmitting antenna transmission signal, reception antenna receives target echo signal, the radio-frequency module docking collection of letters number to radio-frequency module
Carry out IF process and host computer is sent back to by capture card, host computer pre-processed to the two paths of signals for receiving, based on partial zones
After Adaptive Thresholding, the multiple target feature extraction in domain, multiple target pairing is carried out, be calculated target location, target numbers
Information.
2. as claimed in claim 1 a kind of for many human body target detecting systems in ultra-broadband wall-through radar, it is characterized in that：Number
There is synchronous triggering clock by external signal source according to capture card and radio-frequency module, to realize the full coherent of data.
3. a kind of for many human body target detection methods in ultra-broadband wall-through radar, it is characterized in that：Including：
(1) antenna received using a hair two receives two-way echo-signal, after data collecting card gathered data, two paths of data is carried out
Pretreatment, by echo data divisions each time, unified representation, Fourier transformation, modulus and add up, according to direct wave removal side
Method removes straight coupling and wall back wave, determines the minimum distance and maximum distance of search coverage, and interception useful data is interval；
(2) using based on regional area adaptive threshold method, remain larger than the point of threshold value, less than and equal to threshold value point then
It is set to zero；
(3) further with target's feature-extraction method, false target or noise jamming are removed；
(4) each echo signal to two passages is matched two-by-two, matches algorithm using multiple target, it is ensured that two mesh of pairing
Mark signal comes from same human body target.
4. as claimed in claim 3 a kind of for many human body target detection methods in ultra-broadband wall-through radar, it is characterized in that：Institute
State in step (1), specifically include：
(1-1) receives two-way echo-signal using the antenna that a hair two is received, and after data collecting card gathered data, two paths of data is entered
Row pretreatment, multiple range cells are divided into by echo data each time；
The data of the same range cell of (1-2) unified representation, the data to receiving enter row distance to Fourier transformation, how general successively
Strangle to Fourier transformation, obtain complex data form, to its modulus；
(1-3) carries out addition accumulation to the data of same range cell, removes straight coupling according to direct wave removing method and wall is anti-
Ejected wave, determines the minimum distance and maximum distance of search coverage, and interception useful data is interval.
5. as claimed in claim 3 a kind of for many human body target detection methods in ultra-broadband wall-through radar, it is characterized in that：Institute
State in step (2), envelope width is more than certain threshold value N, certain threshold value M is more than with the spacing of adjacent envelope, then take the barycenter of this envelope
As effective target position；Otherwise envelope width is less than certain threshold value N, or is smaller than certain threshold value M with adjacent envelope, then recognized
To be false target or noise jamming, rejected.
6. as claimed in claim 3 a kind of for many human body target detection methods in ultra-broadband wall-through radar, it is characterized in that：Institute
State in step (2), the process of the adaptive threshold method based on regional area is as follows：
(2-1) data length for obtaining of pretreatment is from NminStart to NmaxTerminate, be multiple detection units by this interval division, often
Individual element length is L；
(2-2) averages to L data, and result of this average value with whole interval average plus factor C is compared；
(2-3) takes detection threshold value of the higher value as this detection unit, and the amplitude in detection unit then retains if greater than threshold value,
0 is otherwise set to, the wherein determination of factor C is determined by the overall region average value of background environment；
(2-4) second original position of detection unit and first starting position interval L of detection unitminIt is individual, class successively
Push away, whole interval threshold value is determined one by one, wherein LminValue determined by human motion speed and data acquisition rate.
7. as claimed in claim 3 a kind of for many human body target detection methods in ultra-broadband wall-through radar, it is characterized in that：Institute
State in step (3), the procedure of multiple target feature extraction is：From between shared range cell number and adjacent target be spaced away from
Judge whether it is spurious signal from the aspect of unit number two, the range cell number that the signal envelope of single UNICOM is included exceedes necessarily
Value is that judgement is real goal, is otherwise judged as false target；The range cell number being spaced between adjacent signal envelope two-by-two
Mesh is to judge it is two independent targets more than certain value, is otherwise judged as an independent target.
8. as claimed in claim 3 a kind of for many human body target detection methods in ultra-broadband wall-through radar, it is characterized in that：Institute
State in step (4), according to through-wall radar signal propagation path and the relation of the spacing of reception antenna, build target pairing.
9. as claimed in claim 3 a kind of for many human body target detection methods in ultra-broadband wall-through radar, it is characterized in that：Institute
In stating step (4), if first passage target numbers are more than second channel target numbers, the first aim distance of first passage
Value is subtracted each other with each target range value of second channel, if minimal difference is produced less than or equal to two spacing of reception antenna
Target pairing in two passages of raw minimal difference, if minimal difference is more than two spacing of reception antenna, then it is assumed that first
The first aim of passage is decoy.
10. as claimed in claim 3 a kind of for many human body target detection methods in ultra-broadband wall-through radar, it is characterized in that：
In the step (4), i-th target range value of first passage and remaining unpaired target range value phase of second channel
Subtract, if minimal difference produces the target pairing in two passages of minimal difference less than or equal to two spacing of reception antenna,
If minimal difference is more than two spacing of reception antenna, then it is assumed that this target of first passage is decoy.
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Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107490795A (en) * | 2017-07-24 | 2017-12-19 | 长沙学院 | It is a kind of to realize that human motion state knows method for distinguishing by radar |
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