CN107678029A - A kind of rear orientation projection's imaging method based on the average cross-correlation information of random reference - Google Patents

A kind of rear orientation projection's imaging method based on the average cross-correlation information of random reference Download PDF

Info

Publication number
CN107678029A
CN107678029A CN201710764779.8A CN201710764779A CN107678029A CN 107678029 A CN107678029 A CN 107678029A CN 201710764779 A CN201710764779 A CN 201710764779A CN 107678029 A CN107678029 A CN 107678029A
Authority
CN
China
Prior art keywords
mrow
msub
cross
echo
imaged
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.)
Granted
Application number
CN201710764779.8A
Other languages
Chinese (zh)
Other versions
CN107678029B (en
Inventor
毛兴鹏
辛亮
王亚梁
赵春雷
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Harbin Institute of Technology
Original Assignee
Harbin Institute of Technology
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Harbin Institute of Technology filed Critical Harbin Institute of Technology
Priority to CN201710764779.8A priority Critical patent/CN107678029B/en
Publication of CN107678029A publication Critical patent/CN107678029A/en
Application granted granted Critical
Publication of CN107678029B publication Critical patent/CN107678029B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO 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
    • G01S13/00Systems 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
    • G01S13/88Radar or analogous systems specially adapted for specific applications
    • G01S13/89Radar or analogous systems specially adapted for specific applications for mapping or imaging
    • G01S13/90Radar or analogous systems specially adapted for specific applications for mapping or imaging using synthetic aperture techniques, e.g. synthetic aperture radar [SAR] techniques
    • G01S13/9004SAR image acquisition techniques
    • G01S13/9017SAR image acquisition techniques with time domain processing of the SAR signals in azimuth
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO 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
    • G01S13/00Systems 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
    • G01S13/88Radar or analogous systems specially adapted for specific applications
    • G01S13/89Radar or analogous systems specially adapted for specific applications for mapping or imaging
    • G01S13/90Radar or analogous systems specially adapted for specific applications for mapping or imaging using synthetic aperture techniques, e.g. synthetic aperture radar [SAR] techniques
    • G01S13/904SAR modes
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO 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
    • G01S7/00Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/28Details of pulse systems
    • G01S7/2813Means providing a modification of the radiation pattern for cancelling noise, clutter or interfering signals, e.g. side lobe suppression, side lobe blanking, null-steering arrays

Landscapes

  • Engineering & Computer Science (AREA)
  • Remote Sensing (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Physics & Mathematics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • General Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Signal Processing (AREA)
  • Radar Systems Or Details Thereof (AREA)

Abstract

A kind of rear orientation projection's imaging method based on the average cross-correlation information of random reference, it belongs to radar image processing technology field, solves the problems, such as that traditional rear orientation projection's imaging method secondary lobe and interference are higher, imaging performance is poor, detailed process is as follows:One, by radar gathered data, by calculating, target to be imaged is involutory into the time delay of aperture location and transmitting pulse signal centre frequency obtains the echo data matrix of point to be imaged;Two, three groups of cross correlation number vectors are calculated using the random reference echo vector of middle reference echo vector and the left and right sides, and calculate the average value of the cross-correlation coefficient of three groups of cross correlation number vectors respectively;Three, the average value of optimal cross-correlation coefficient is selected by setting two-stage threshold value;Four, calculate the range value of point to be imaged using the average value and echo vector paragraph of obtained optimal cross-correlation coefficient;Repeat the above steps one to four, scan all points to be imaged, obtain imaging results.The present invention can be used for radar image process field.

Description

A kind of rear orientation projection's imaging method based on the average cross-correlation information of random reference
Technical field
The present invention relates to a kind of radar image treatment technology, and in particular to one kind based on the average cross-correlation of random reference Rear orientation projection's imaging method of information, belongs to radar imaging technology field.
Background technology
Radar imaging technology is that the target in scene carries out two dimension or three-dimensional display directly perceived, is easy to follow-up Object detection and recognition, to obtain the geometry and physical message of object in scene.
In terms of traditional rear orientation projection's imaging, document《TRM-SAR imaging techniques are studied in ultra-wideband ground-penetrating radar (uw-gpr)》(electronics University of Science and Technology's journal, 2011-05-30) mainly by the way that time reversal mirror imaging technique and SAR imaging techniques are combined, with By means of its statistics from average characteristics and space-time matched filtering characteristic, contrasted with time domain rear orientation projection imaging algorithm, Ke Yiti For the imaging results of higher resolution;Document《The parallel fast back projection algorithm of pixel-oriented》(Institutes Of Technology Of Nanjing's journal, 2014-10-30) mainly solves back-projection algorithm operand greatly and poor real by parallel fast back projection algorithm Problem;Document《Improvement back-projection algorithm based on dechirp Missile-borne SARs》(Acta Physica Sinica, 2013-11-08) is mainly pin The problem of and original back-projection algorithm difficult to the compensation of missile borne SAR range migration computationally intensive poor real, A kind of improvement BP imaging algorithms based on solution line frequency modulation Missile-borne SAR are proposed, target area can be realized while parallel processing Domain accurately image;Patent《GPR rear orientation projection imaging method based on amplitude weighting》(CN 105974405A) is mainly Response amplitude construction window function corresponding to the point on hyperbola echo is obtained using edge extracting, the then scattering to each passage rings Amplitude is answered to be weighted imaging;Patent《A kind of SAR rear orientation projection imaging method of feature based apart from subspace》(CN 104155653A) mainly by the angle that based on apart from history vectors, can be focused on from traditional BP algorithm propose away from From history vectors matching degree, from the optimal amendment measurement distance history vectors in characteristic distance subspace, the essence to compensating phase is realized Really estimation, obtains more preferable focusing effect;Patent《A kind of scattering strength for GPR Imaging weights processing method》(CN 102253371A) weight coefficient is sought using the scattering data in imaging region at corresponding time lag curve.
Due to being limited by hardware advances, treatment technology is relatively fixed traditional rear orientation projection's imaging method, is not present Phase information, it can not go to improve imaging performance using phase information, while traditional rear orientation projection's imaging technique is also by near field The limitation of environment, transmission signal environment are mostly Gaussian pulse signal, therefore traditional rear orientation projection's imaging method secondary lobe and interference It is higher.
The content of the invention
The present invention is in order to solve in traditional rear orientation projection's imaging method secondary lobe and disturb higher, imaging performance is poor to ask A kind of topic, there is provided rear orientation projection's imaging method based on the average cross-correlation information of random reference.
Detailed process of the present invention is as follows:
Step 1, radar gathered data is involutory into the time delay and transmitting arteries and veins of aperture location by calculating target to be imaged Rush signal center frequency and obtain the echo data matrix of point to be imaged;
Step 2, three groups are calculated using middle reference echo vector paragraph and the random reference echo vector paragraph of the left and right sides Cross correlation number vector, and the average value of the cross-correlation coefficient of three groups of cross correlation number vectors is calculated respectively;
Step 3, the average value of optimal cross-correlation coefficient is selected by setting two-stage threshold value;
Step 4, point to be imaged is calculated using the average value and echo vector paragraph of obtained optimal cross-correlation coefficient Range value;
Repeat the above steps 1 to 4, scan all points to be imaged, obtain imaging results.
Further, the step 1 is specially:
K-th of synthetic aperture transmitting antenna T of step 11)kPosition be (xk, Δ y/2,0), k-th of synthetic aperture receives day Line RkPosition be (xk,-Δ y/2,0), target A to be imaged position is (xA,0,zA);
Step 12) target A to be imaged relative to k-th of synthetic aperture position delay, τA,kFor
The number of synthetic aperture is Np, target A to be imaged to each synthetic aperture position time delay vector:
The centre frequency of step 13) target A transmission signals to be imaged is f0, equivalent sampling frequency is fs, at each time delay Centered on position, in the upper and lower echo data for taking S length respectively of the place-centric as pending echo data, this segment signal Length be:
Wherein L is odd number, and echo data and the pending echo data collectively constitute the dimension echo of L × 1 at delay positions Vector paragraph, symbolExpression rounds symbol;
Echo vector paragraph is step 14) accordingly
Corresponding echo section is target A to be imaged echo section, s at k-th of synthetic aperture position of transmitting antennaA,k Echo vectors of the target A to be imaged at k-th of synthetic aperture position of transmitting antenna is represented, if sample range is beyond sampled point Number scope M, or less than 0, then with 0 come polishing, one L × N on imaging point of generationpThe echo data matrix of dimension
Further, the step 2 is specially:
Step 21)For middle reference echo vector paragraph, then one is randomly choosed on the left of middle reference echo section Road left side reference echo vector paragraphOne of right side reference echo vector paragraph is randomly choosed on the right side of middle reference echo section
Step 22) is according to the echo vector paragraph that each synthetic aperture position obtains and middle reference echo vector paragraph, left side The correlation of Control echo vector paragraph and right side reference echo vector paragraph, three groups of cross correlation number vectors are calculatedWithWherein cross-correlation coefficient ρA,1k、ρA,2k、ρA,3kCalculating use Pearson correlation coefficient:
Wherein Cov (i, j) function representation vector i and vectorial j covariance;
Step 23) calculates the average value of the cross-correlation coefficient in three groups of cross correlation number vectors respectivelyI.e.
Further, the step 3 is specially:
Step 31) judges to select the average value of optimal cross-correlation coefficient using dual threshold, if threshold value is respectively th1With th2, the average value of described cross-correlation coefficientIn maximum be
Step 32) selects the average value of optimal cross-correlation coefficientFor
Further, the step 4 is specially:
The range value of point to be imaged is calculated using the average value and echo vector paragraph of obtained optimal cross-correlation coefficient EAMethod be:
The beneficial effects of the invention are as follows:Rear orientation projection's imaging method of the present invention is by calculating echo vector paragraph with referring back to The cross-correlation coefficient of wave band vector, using cross-correlation coefficient weighted imaging range value, while the present invention is selected using dual threshold thresholding Optimal average cross correlation coefficient is selected, adds the robustness of average cross correlation coefficient, can be avoided because strong jamming is referring back to Performance difference caused by wave band vector position, amplitude of rear orientation projection's imaging method in target location in the present invention are protected Stay, be inhibited in the amplitude of secondary lobe and interference sections, the performance of effective suppressed sidelobes and interference can be played.
The present invention can be widely applied to radar image processing technology field, by suppressed sidelobes and interference, obtain more preferable Imaging performance.
Brief description of the drawings
Fig. 1 is a kind of stream of rear orientation projection's imaging method based on the average cross-correlation information of random reference of the present invention Cheng Tu.
Fig. 2 is a kind of rear orientation projection's imaging method based on the average cross-correlation information of random reference of the present invention double Model of place figure under mode of operation of standing.
Fig. 3 is a kind for the treatment of for rear orientation projection's imaging method based on the average cross-correlation information of random reference of the present invention Echo data figure of the imageable target in each synthetic aperture opening position.
Fig. 4 is in a kind of rear orientation projection's imaging method based on the average cross-correlation information of random reference of the present invention Between refer back to the location drawing of wave band, left side reference echo section and right side reference echo section.
Fig. 5 is the imaging results figure of traditional rear orientation projection's imaging method.
Fig. 6 is the imaging results figure using rear orientation projection's imaging method of random reference cross-correlation information.
Fig. 7 be random reference cross-correlation information rear orientation projection's imaging method with traditional rear orientation projection's imaging method vertical The Profile Correlation figure of opening position.
Fig. 8 is Fig. 7 partial enlarged drawing.
Fig. 9 is rear orientation projection's imaging method and the traditional rear orientation projection's imaging method of random reference cross-correlation information in level The Profile Correlation figure of opening position.
Figure 10 is Fig. 9 partial enlarged drawing.
Figure 11 is rear orientation projection's imaging method based on the average cross-correlation information of random reference of the present invention in strong jamming ring The echo data figure of target location under border.
Figure 12 is Figure 11 partial enlarged drawing.
Figure 13 is rear orientation projection's imaging results figure that cross-correlation coefficient average value is sought merely with middle reference echo vector paragraph.
Figure 14 is Figure 13 partial enlarged drawing.
Figure 15 is rear orientation projection's imaging method based on the average cross-correlation information of random reference of the present invention in strong jamming ring Imaging results figure under border.
Figure 16 is Figure 15 partial enlarged drawing.
In figure:1 represents k-th of synthetic aperture position of transmitting antenna;2 represent k-th of synthetic aperture reception antenna position;3 Represent intermediate solid round dot.
Embodiment
The technical scheme in the embodiment of the present invention is carried out below in conjunction with the accompanying drawing in the embodiment of the present invention clear, complete Ground describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.Based on this Embodiment in invention, the every other reality that those of ordinary skill in the art are obtained under the premise of creative work is not made Example is applied, belongs to the scope of protection of the invention.
Embodiment one, with reference to Fig. 1 illustrate present embodiment.It is a kind of based on the average cross-correlation information of random reference Rear orientation projection's imaging method, detailed process are as follows:
Step 1, radar gathered data is involutory into the time delay and transmitting arteries and veins of aperture location by calculating target to be imaged Rush signal center frequency and obtain the echo data matrix of point to be imaged;
Step 2, three groups are calculated using middle reference echo vector paragraph and the random reference echo vector paragraph of the left and right sides Cross correlation number vector, and the average value of the cross-correlation coefficient of three groups of cross correlation number vectors is calculated respectively;
Step 3, the average value of optimal cross-correlation coefficient is selected by setting two-stage threshold value;
Step 4, point to be imaged is calculated using the average value and echo vector paragraph of obtained optimal cross-correlation coefficient Range value;
Repeat the above steps 1 to 4, scan all points to be imaged, obtain imaging results.
Embodiment two, referring to Fig. 2 and 3 explanation present embodiment.Present embodiment is to embodiment one Further explanation, step 1 is specially:
K-th of synthetic aperture transmitting antenna T of step 11)kPosition be (xk, Δ y/2,0), k-th of synthetic aperture receives day Line RkPosition be (xk,-Δ y/2,0), target A to be imaged position is (xA,0,zA);
Step 12) target A to be imaged relative to k-th of synthetic aperture position delay, τA,kFor
The number of synthetic aperture is Np, target A to be imaged to each synthetic aperture position time delay vector:
The centre frequency of step 13) target A transmission signals to be imaged is f0, equivalent sampling frequency is fs, at each time delay Centered on position, in the upper and lower echo data for taking S length respectively of the place-centric as pending echo data, this segment signal Length be:
Wherein L is odd number, and echo data and the pending echo data collectively constitute the dimension echo of L × 1 at delay positions Vector paragraph, symbolExpression rounds symbol;
Echo vector paragraph is step 14) accordingly
Corresponding echo section is target A to be imaged echo section, s at k-th of synthetic aperture position of transmitting antennaA,k Echo vectors of the target A to be imaged at k-th of synthetic aperture position of transmitting antenna is represented, if sample range is beyond sampled point Number scope M, or less than 0, then with 0 come polishing, one L × N on imaging point of generationpThe echo data matrix of dimension
Under dual station mode of operation, rear orientation projection's imaging method of the invention based on the average cross-correlation information of random reference Model of place as shown in Fig. 2 in x, y and z three dimensions, the triangle in y-axis positive axis direction represents synthetic aperture and connect Aerial position is received, the triangle of minus half direction of principal axis of y-axis represents synthetic aperture position of transmitting antenna, and adjacent synthetic aperture The distance between reception antenna position is Δ l, the distance between adjacent synthetic aperture position of transmitting antenna is Δ l.Such as Fig. 3 institutes Show, for using the target A to be imaged that the method for step 1 obtains each synthetic aperture opening position echo data figure.
Embodiment three, present embodiment are the further explanations to embodiment one, and step 2 is specially:
Step 21)For middle reference echo vector paragraph, then one is randomly choosed on the left of middle reference echo section Road left side reference echo vector paragraphOne of right side reference echo vector paragraph is randomly choosed on the right side of middle reference echo section
Step 22) is according to the echo vector paragraph that each synthetic aperture position obtains and middle reference echo vector paragraph, left side The correlation of Control echo vector paragraph and right side reference echo vector paragraph, three groups of cross correlation number vectors are calculatedWithWherein cross-correlation coefficient ρA,1k、ρA,2k、ρA,3kCalculating use Pearson correlation coefficient:
Wherein Cov (i, j) function representation vector i and vectorial j covariance;
Step 23) calculates the average value of the cross-correlation coefficient in three groups of cross correlation number vectors respectivelyI.e.
In the present embodiment, as shown in figure 4, black circle represents sound of the point target on channel time delay position in figure Should, and intermediate solid round dot 3 represents the response in middle reference delay positions, in middle reference delay positions arranged on left and right sides A delay positions, the delay positions randomly selected in arranged on left and right sides passage and middle reference time delay are respectively randomly selected in passage Position is collectively as with reference to delay positions.
Embodiment four, present embodiment are the further explanations to embodiment one, and step 3 is specially:
Step 31) judges to select the average value of optimal cross-correlation coefficient using dual threshold, if threshold value is respectively th1With th2, the average value of described cross-correlation coefficientIn maximum be
Step 32) selects the average value of optimal cross-correlation coefficientFor
Embodiment five, present embodiment are the further explanations to embodiment one, and step 4 is specially:
The range value of point to be imaged is calculated using the average value and echo vector paragraph of obtained optimal cross-correlation coefficient EAMethod be:
With reference to integration secondary lobe than come the quantitative assessment present invention based on the backward of the average cross-correlation information of random reference Projection imaging method is to secondary lobe and the rejection ability of interference.
Integration secondary lobe ratio is to be used for weighing imaging method to secondary lobe and the performance of AF panel degree in Radar Signal Processing Index, integration definition of the secondary lobe than ISLR are:
E in formulatotalRepresent the gross energy in entire image imaging results, EmainRepresent target in entire image imaging results Energy in main lobe.
For the ease of analyzing the integration secondary lobe ratio of imaging method of the present invention and traditional rear orientation projection's imaging method, the present invention adopts With simple image scene as shown in Figure 4, a point target is only existed in the scene, and signal is preferable carrierfree Gaussian pulse Signal, the neighbouring N of point targetpThere is DELAY RESPONSE of the target in synthetic aperture position in track data, i.e. echo shaping is identical, only It is difference in delay positions, so hyp shape occurs.
Assuming that the amplitude of delay positions where point target is B, represented in Fig. 4 with black circle, other positions are with hollow Round dot represents.In radar detection environment, always with the presence of various noises or interference, it is assumed herein that the amplitude η of other positions Very little, and obey N (μ, σ2) Gaussian Profile, wherein μ absolute value is much smaller than target amplitude value B.In theory deduction below It is middle to be expressed as with T as the range value of rear target, it is expressed as the range value as rear secondary lobe and interference with C.The rear orientation projection of the present invention When imaging method is imaged for point to be imaged, if point A to be imaged is target point, in obtained cross correlation number vector Each cross-correlation coefficient approximation is all 1, after each cross-correlation coefficient is averagedIf point to be imaged is non-targeted point, obtain Each cross-correlation coefficient in cross correlation number vector is 1 except Control echo vector paragraph position, the cross-correlation coefficient of other positions For the value ρ of very littlemin, so just cause target and the contrast of interference to greatly increase.Traditional rear orientation projection's imaging method be by All N of point to be imagedpIndividual amplitude is directly cumulative, and rear orientation projection's imaging method of the invention is by all N of point to be imagedpIndividual amplitude Accumulated value multiply optimal average cross correlation coefficient, the amplitude T of target point is respectively in two kinds of algorithms
T in formulaBPRepresent the amplitude of target point after traditional rear orientation projection's imaging method imaging, TSRACBPRepresent the present invention's The amplitude of target point after rear orientation projection's imaging method imaging based on the average cross-correlation information of random reference,Represent cross-correlation The average of the cross-correlation coefficient of coefficient vector, at aiming spot
For interference magnitude C, when now first considering to be not present the echo amplitude of target in echo vector paragraph, traditional is backward The interference magnitude of projection imaging method is approximately Npμ, the rear orientation projection of the invention based on the average cross-correlation information of random reference Cross-correlation coefficient can be close to 1/N by sum-average arithmetic, in theory average cross correlation coefficient in imaging methodp, can then draw:
CBP=Npμ,CSRACBP
In formula, CBPRepresent the interference magnitude after the non-targeted point imaging of traditional rear orientation projection's imaging method, CSRACBPRepresent this Interference magnitude after the non-targeted point imaging of rear orientation projection's imaging method based on the average cross-correlation information of random reference of invention, η It is one and obeys N (μ, σ2) Gaussian Profile very little amplitude.
If consider a target point echo be present in non-targeted echo vector paragraph, then traditional rear orientation projection's imaging method Interference magnitude C 'BPIt is approximately Npμ+B, rear orientation projection's imaging method of the invention based on the average cross-correlation information of random reference The average value of cross-correlation coefficient be about 1/Np, therefore interference magnitude CSRACBPIt is approximately μ+B/Np, can then draw:
C′BP=Npμ+B,C′SRACBP=μ+B/Np
For above-mentioned two situations, because the amplitude of target point is the same order of magnitude, and it is approximately the same, therefore target point Amplitude is with interference magnitude than being mainly reflected in the difference of interference magnitude.T and C ratio reflects target under different situations and done The contrast after imaging is disturbed, calculates traditional rear orientation projection's imaging method and the present invention respectively based on the average cross-correlation letter of random reference The T and C of rear orientation projection's imaging method of breath ratio
For above-mentioned two situations it can be seen that the amplitude after the imaging of target location and the amplitude after the imaging of non-targeted position There is nearly NpPerformance boost again.If imaging region is divided into M × N number of pixel, and picture shared by interference magnitude in above-mentioned two situations Prime number mesh is respectively S1、S2, wherein S2< S1, number of pixels shared by target is 1, then the ISLR values of two kinds of imaging method results Respectively:
Wherein, ISLRBPIt is the ISLR, ISLR after traditional rear orientation projection's imaging method imagingSRACBPBe the present invention based on ISLR after rear orientation projection's imaging method imaging of the average cross-correlation information of machine reference, as can be seen from the above equation, base of the invention ISLR after rear orientation projection's imaging method imaging of the average cross-correlation information of random reference is than traditional rear orientation projection's imaging method ISLR after imaging reduces 20lg (Np), that is, illustrate the rear orientation projection based on the average cross-correlation information of random reference of the invention The performance of imaging method has stronger secondary lobe and AF panel performance compared to more traditional rear orientation projection's imaging method.
The effect of the present invention is described further with reference to emulation experiment.
(1) simulation parameter
Transmission signal centre frequency f0=400MHz, equivalent sampling frequency fs=25GHz, transmission signal are believed for Gaussian pulse Number, noise is white Gaussian noise, and signal to noise ratio 10dB, the x-axis direction sampling interval is 2cm, and the z-axis direction sampling interval is 6mm, Sending and receiving antenna spacing is 20cm, and the positions of two targets is (0.8m, 0m, 2m) and (1.4m, 0m, 6m), the letter of target location Miscellaneous ratio is -10dB.
(1) simulation result
Fig. 5 is the imaging results figure of traditional rear orientation projection's imaging method;Backward throwing based on random reference cross-correlation information The imaging results of shadow imaging method are as shown in Figure 6;Fig. 7 is the rear orientation projection's imaging method and tradition of random reference cross-correlation information Profile Correlation figure of rear orientation projection's imaging method in upright position;Accordingly, Fig. 8 is Fig. 7 partial enlarged drawing;Fig. 9 be with Machine with reference to cross-correlation information rear orientation projection's imaging method and traditional rear orientation projection's imaging method horizontal position section pair Than figure;Accordingly, Figure 10 is Fig. 9 partial enlarged drawing, from profile it can be seen that the present invention's is averagely mutual based on random reference For rear orientation projection's imaging method of relevant information compared with traditional back-projection algorithm, secondary lobe and interfering energy are relatively low;Figure 13 is only Rear orientation projection's imaging results figure of cross-correlation coefficient average value is sought using middle reference echo vector paragraph;Accordingly, Figure 14 is figure The partial enlarged drawing of 13 imaging results;Figure 15 be the present invention the rear orientation projection based on the average cross-correlation information of random reference into Imaging results figure of the image space method under strong interference environment;Accordingly, Figure 16 is the partial enlarged drawing of Figure 15 imaging results;From two Imaging results Figure 14 and Figure 16 of kind method can be seen that to be judged to select optimal cross-correlation coefficient using the method for dual threshold Average value, strong jamming can be avoided to cause degradation in target location, that is, there is stronger antijamming capability.
Above to a kind of rear orientation projection's imaging method based on the average cross-correlation information of random reference provided by the present invention It is described in detail, while applies specific embodiment and the principle and embodiment of the present invention are set forth, the above is real The explanation for applying example is only intended to help the method and its core concept for understanding the present invention;For those of ordinary skill in the art, According to the thought of the present invention, there will be changes in specific embodiments and applications, in summary, in this specification Appearance should not be construed as limiting the invention.

Claims (5)

1. a kind of rear orientation projection's imaging method based on the average cross-correlation information of random reference, it is characterised in that including following step Suddenly:
Step 1, by radar gathered data, by calculating, target to be imaged is involutory into the time delay of aperture location and transmitting pulse is believed Number centre frequency obtains the echo data matrix of point to be imaged;
Step 2, it is mutual using three groups of middle reference echo vector paragraph and the random reference echo vector paragraph of left and right sides calculating Relation number vector, and the average value of the cross-correlation coefficient of three groups of cross correlation number vectors is calculated respectively;
Step 3, the average value of optimal cross-correlation coefficient is selected by setting two-stage threshold value;
Step 4, the amplitude of point to be imaged is calculated using the average value and echo vector paragraph of obtained optimal cross-correlation coefficient Value;
Repeat the above steps 1 to 4, scan all points to be imaged, obtain imaging results.
2. rear orientation projection's imaging method according to claim 1 based on the average cross-correlation information of random reference, its feature It is, the step 1 is specially:
K-th of synthetic aperture transmitting antenna T of step 11)kPosition be (xk, Δ y/2,0), k-th of synthetic aperture reception antenna Rk Position be (xk,-Δ y/2,0), target A to be imaged position is (xA,0,zA);
Step 12) target A to be imaged relative to k-th of synthetic aperture position delay, τA,kFor
<mrow> <msub> <mi>&amp;tau;</mi> <mrow> <mi>A</mi> <mo>,</mo> <mi>k</mi> </mrow> </msub> <mo>=</mo> <mfrac> <mrow> <mn>2</mn> <msqrt> <mrow> <msup> <mrow> <mo>(</mo> <msub> <mi>x</mi> <mi>A</mi> </msub> <mo>-</mo> <msub> <mi>x</mi> <mi>k</mi> </msub> <mo>)</mo> </mrow> <mn>2</mn> </msup> <mo>+</mo> <msup> <mrow> <mo>(</mo> <mi>&amp;Delta;</mi> <mi>y</mi> <mo>/</mo> <mn>2</mn> <mo>)</mo> </mrow> <mn>2</mn> </msup> <mo>+</mo> <msubsup> <mi>z</mi> <mi>A</mi> <mn>2</mn> </msubsup> </mrow> </msqrt> </mrow> <mi>c</mi> </mfrac> </mrow>
The number of synthetic aperture is Np, target A to be imaged to each synthetic aperture position time delay vector:
The centre frequency of step 13) target A transmission signals to be imaged is f0, equivalent sampling frequency is fs, with position at each time delay Centered on, in the upper and lower echo data for taking S length respectively of the place-centric as pending echo data, the length of this segment signal Spend and be:
Wherein L is odd number, at delay positions echo data and the pending echo data collectively constitute the dimension echo section of L × 1 to Amount, symbolExpression rounds symbol;
The echo vector paragraph of the corresponding echo section of step 14) is
Corresponding echo section is target A to be imaged in k-th of synthetic aperture antenna opening position echo section, sA,kExpression is treated into As target A is in the echo vector of k-th synthetic aperture antenna opening position, if sample range beyond sampling number scope M, or Less than 0, then with 0 come polishing, one L × N on imaging point of generationpThe echo data matrix of dimension
3. rear orientation projection's imaging method according to claim 1 based on the average cross-correlation information of random reference, its feature It is, the step 2 is specially:
Step 21)For middle reference echo vector paragraph, then random selection is left together on the left of middle reference echo section Side Control echo vector paragraphOne of right side reference echo vector paragraph is randomly choosed on the right side of middle reference echo section
Step 22) is according to the echo vector paragraph that each synthetic aperture antenna position obtains and middle reference echo vector paragraph, left side The correlation of Control echo vector paragraph and right side reference echo vector paragraph, three groups of cross correlation number vectors are calculatedWithWherein cross-correlation coefficient ρA,1k、ρA,2k、ρA,3kCalculating use Pearson correlation coefficient:
<mrow> <msub> <mi>&amp;rho;</mi> <mrow> <mi>A</mi> <mo>,</mo> <mn>2</mn> <mi>k</mi> </mrow> </msub> <mo>=</mo> <mfrac> <mrow> <mi>C</mi> <mi>o</mi> <mi>v</mi> <mrow> <mo>(</mo> <msub> <mi>x</mi> <mrow> <mi>A</mi> <mo>,</mo> <mi>k</mi> </mrow> </msub> <mo>,</mo> <msub> <mi>x</mi> <mrow> <mi>A</mi> <mo>,</mo> <msub> <mi>k</mi> <mi>L</mi> </msub> </mrow> </msub> <mo>)</mo> </mrow> </mrow> <msqrt> <mrow> <mi>C</mi> <mi>o</mi> <mi>v</mi> <mrow> <mo>(</mo> <msub> <mi>x</mi> <mrow> <mi>A</mi> <mo>,</mo> <mi>k</mi> </mrow> </msub> <mo>,</mo> <msub> <mi>x</mi> <mrow> <mi>A</mi> <mo>,</mo> <mi>k</mi> </mrow> </msub> <mo>)</mo> </mrow> <mo>&amp;CenterDot;</mo> <mi>C</mi> <mi>o</mi> <mi>v</mi> <mrow> <mo>(</mo> <msub> <mi>x</mi> <mrow> <mi>A</mi> <mo>,</mo> <msub> <mi>k</mi> <mi>L</mi> </msub> </mrow> </msub> <mo>,</mo> <msub> <mi>x</mi> <mrow> <mi>A</mi> <mo>,</mo> <msub> <mi>k</mi> <mi>L</mi> </msub> </mrow> </msub> <mo>)</mo> </mrow> </mrow> </msqrt> </mfrac> </mrow>
<mrow> <msub> <mi>&amp;rho;</mi> <mrow> <mi>A</mi> <mo>,</mo> <mn>3</mn> <mi>k</mi> </mrow> </msub> <mo>=</mo> <mfrac> <mrow> <mi>C</mi> <mi>o</mi> <mi>v</mi> <mrow> <mo>(</mo> <msub> <mi>x</mi> <mrow> <mi>A</mi> <mo>,</mo> <mi>k</mi> </mrow> </msub> <mo>,</mo> <msub> <mi>x</mi> <mrow> <mi>A</mi> <mo>,</mo> <msub> <mi>k</mi> <mi>R</mi> </msub> </mrow> </msub> <mo>)</mo> </mrow> </mrow> <msqrt> <mrow> <mi>C</mi> <mi>o</mi> <mi>v</mi> <mrow> <mo>(</mo> <msub> <mi>x</mi> <mrow> <mi>A</mi> <mo>,</mo> <mi>k</mi> </mrow> </msub> <mo>,</mo> <msub> <mi>x</mi> <mrow> <mi>A</mi> <mo>,</mo> <mi>k</mi> </mrow> </msub> <mo>)</mo> </mrow> <mo>&amp;CenterDot;</mo> <mi>C</mi> <mi>o</mi> <mi>v</mi> <mrow> <mo>(</mo> <msub> <mi>x</mi> <mrow> <mi>A</mi> <mo>,</mo> <msub> <mi>k</mi> <mi>R</mi> </msub> </mrow> </msub> <mo>,</mo> <msub> <mi>x</mi> <mrow> <mi>A</mi> <mo>,</mo> <msub> <mi>k</mi> <mi>R</mi> </msub> </mrow> </msub> <mo>)</mo> </mrow> </mrow> </msqrt> </mfrac> </mrow>
Wherein Cov (i, j) function representation vector i and vectorial j covariance;
Step 23) calculates the average value of the cross-correlation coefficient in three groups of cross correlation number vectors respectivelyI.e.
<mrow> <msub> <mover> <mi>&amp;rho;</mi> <mo>&amp;OverBar;</mo> </mover> <mrow> <mi>A</mi> <mo>,</mo> <mi>i</mi> </mrow> </msub> <mo>=</mo> <mfrac> <mn>1</mn> <msub> <mi>N</mi> <mi>p</mi> </msub> </mfrac> <mo>&amp;CenterDot;</mo> <mo>|</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <msub> <mi>N</mi> <mi>p</mi> </msub> </munderover> <msub> <mi>&amp;rho;</mi> <mrow> <mi>A</mi> <mo>,</mo> <mi>i</mi> <mi>k</mi> </mrow> </msub> <mo>|</mo> <mo>,</mo> <mi>i</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>2</mn> <mo>,</mo> <mn>3.</mn> </mrow>
4. rear orientation projection's imaging method according to claim 1 based on the average cross-correlation information of random reference, its feature It is, the step 3 is specially:
Step 31) judges to select the average value of optimal cross-correlation coefficient using dual threshold, if threshold value is respectively th1And th2, institute The average value for the cross-correlation coefficient statedIn maximum be
<mrow> <msub> <mover> <mi>P</mi> <mo>&amp;OverBar;</mo> </mover> <mrow> <mi>A</mi> <mo>,</mo> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> </msub> <mo>=</mo> <mi>m</mi> <mi>a</mi> <mi>x</mi> <mo>{</mo> <msub> <mover> <mi>P</mi> <mo>&amp;OverBar;</mo> </mover> <mrow> <mi>A</mi> <mo>,</mo> <mn>1</mn> </mrow> </msub> <mo>,</mo> <msub> <mover> <mi>P</mi> <mo>&amp;OverBar;</mo> </mover> <mrow> <mi>A</mi> <mo>,</mo> <mn>2</mn> </mrow> </msub> <mo>,</mo> <msub> <mover> <mi>P</mi> <mo>&amp;OverBar;</mo> </mover> <mrow> <mi>A</mi> <mo>,</mo> <mn>3</mn> </mrow> </msub> <mo>}</mo> </mrow>
Step 32) selects the average value of optimal cross-correlation coefficientFor
5. rear orientation projection's imaging method according to claim 1 based on the average cross-correlation information of random reference, its feature It is, the average value and echo vector paragraph of the optimal cross-correlation coefficient that the specific described utilization of the step 4 obtains calculate The range value E of point to be imagedAMethod be:
CN201710764779.8A 2017-08-30 2017-08-30 Backward projection imaging method based on random reference average cross-correlation information Active CN107678029B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710764779.8A CN107678029B (en) 2017-08-30 2017-08-30 Backward projection imaging method based on random reference average cross-correlation information

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710764779.8A CN107678029B (en) 2017-08-30 2017-08-30 Backward projection imaging method based on random reference average cross-correlation information

Publications (2)

Publication Number Publication Date
CN107678029A true CN107678029A (en) 2018-02-09
CN107678029B CN107678029B (en) 2020-08-07

Family

ID=61134164

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710764779.8A Active CN107678029B (en) 2017-08-30 2017-08-30 Backward projection imaging method based on random reference average cross-correlation information

Country Status (1)

Country Link
CN (1) CN107678029B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109901164A (en) * 2019-03-21 2019-06-18 桂林电子科技大学 A kind of distributed rear orientation projection's imaging method of synthetic aperture radar
CN112904334A (en) * 2021-01-26 2021-06-04 中国人民解放军空军工程大学 Ground penetrating radar back projection fast imaging method based on cross correlation
CN114966560A (en) * 2022-07-29 2022-08-30 中南大学 Ground penetrating radar backward projection imaging method and system

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104391295A (en) * 2014-09-02 2015-03-04 电子科技大学 Compressive sensing SAR sparse self-focusing imaging method with optimum image entropy
CN106646466A (en) * 2016-11-04 2017-05-10 深圳市航天华拓科技有限公司 Imaging method of weighted back projection algorithm based on principal component analysis

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104391295A (en) * 2014-09-02 2015-03-04 电子科技大学 Compressive sensing SAR sparse self-focusing imaging method with optimum image entropy
CN106646466A (en) * 2016-11-04 2017-05-10 深圳市航天华拓科技有限公司 Imaging method of weighted back projection algorithm based on principal component analysis

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
GUANGMIN ZHANG ET AL.: "Novel Imaging Method Based on Cross-correlation Function for Suppressing the Interference of Noise", 《2016 IEEE INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING》 *
LIN ZHOU ET AL.: "A Fast Back-Projection Algorithm Based on Cross Correlation for GPR Imaging", 《IEEE GEOSCIENCE AND REMOTE SENSING LETTERS》 *
R. ZETIK ET AL.: "Modified cross-correlation back projection for UWB imaging: numerical examples", 《2005 IEEE INTERNATIONAL CONFERENCE ON ULTRA-WIDEBAND》 *
周琳 等: "基于互相关的探地雷达反向投影成像算法", 《电子与信息学报》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109901164A (en) * 2019-03-21 2019-06-18 桂林电子科技大学 A kind of distributed rear orientation projection's imaging method of synthetic aperture radar
CN112904334A (en) * 2021-01-26 2021-06-04 中国人民解放军空军工程大学 Ground penetrating radar back projection fast imaging method based on cross correlation
CN112904334B (en) * 2021-01-26 2023-04-25 中国人民解放军空军工程大学 Ground penetrating radar backward projection rapid imaging method based on cross correlation
CN114966560A (en) * 2022-07-29 2022-08-30 中南大学 Ground penetrating radar backward projection imaging method and system
CN114966560B (en) * 2022-07-29 2022-10-28 中南大学 Ground penetrating radar backward projection imaging method and system

Also Published As

Publication number Publication date
CN107678029B (en) 2020-08-07

Similar Documents

Publication Publication Date Title
CN104851097B (en) The multichannel SAR GMTI methods aided in based on target shape and shade
CN107561507B (en) Clutter cancellation method for external radiation source radar
CN107678029A (en) A kind of rear orientation projection&#39;s imaging method based on the average cross-correlation information of random reference
CN109298418B (en) Radar detection false alarm suppression method and device based on building internal structure characteristics
CN109407055A (en) The Beamforming Method utilized based on multipath
CN105954745A (en) Imaging method suitable for through-wall radar multipath phantom inhibition
CN109298417B (en) Building internal structure detection method and device based on radar signal processing
KR20160012284A (en) Method and Apparatus for suppressing jammer signals and estimating Angle Of Arrival of original signal using orthogonal of transmitting signal waveform
CN112612005A (en) Radar main lobe interference resisting method based on deep learning
CN111580099A (en) Wall clutter suppression method of through-wall imaging radar based on joint entropy
Rasool et al. Biologically inspired processing of radar waveforms for enhanced delay-Doppler resolution
CN110146881A (en) A kind of scanning radar super-resolution imaging method based on improvement total variation
CN109471097A (en) A kind of through-wall radar Signal optimum processing method and device
CN112882016A (en) Multi-person vital sign detection method based on improved robust adaptive beam forming
CN108416105B (en) Steady adaptive beam-forming algorithm under pulse and Gaussian noise
Gao et al. TWR-MCAE: A data augmentation method for through-the-wall radar human motion recognition
CN107783111A (en) A kind of radar foresight super-resolution imaging method based on maximum entropy criterion
CN115575921B (en) Pitching-direction-based multichannel multi-interference-base suppression interference suppression method
CN108564962A (en) Unmanned plane voice signal Enhancement Method based on tetrahedron microphone array
CN116125421B (en) Array radar multi-echo signal target detection method based on deep learning
CN107132532A (en) Small target detecting method based on extra large peak restrained and multi-frame joint
CN116930963A (en) Through-wall imaging method based on wireless communication system
CN110133641A (en) A kind of through-wall imaging radar target tracking method of dimension self-adaption
Lim et al. Time-and frequency-domain MIMO FLGPR imaging
CN106371095A (en) Pulse compression technique-based range imaging method and range imaging system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant