CN108279404A - A kind of Dual-Channel SAR phase error correction approach based on Estimation of Spatial Spectrum - Google Patents

A kind of Dual-Channel SAR phase error correction approach based on Estimation of Spatial Spectrum Download PDF

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CN108279404A
CN108279404A CN201810068017.9A CN201810068017A CN108279404A CN 108279404 A CN108279404 A CN 108279404A CN 201810068017 A CN201810068017 A CN 201810068017A CN 108279404 A CN108279404 A CN 108279404A
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CN108279404B (en
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邢孟道
雍俊
李铂宇
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Xidian University
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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
    • G01S13/89—Radar or analogous systems specially adapted for specific applications for mapping or imaging
    • G01S13/90—Radar or analogous systems specially adapted for specific applications for mapping or imaging using synthetic aperture techniques, e.g. synthetic aperture radar [SAR] techniques
    • 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
    • G01S7/40—Means for monitoring or calibrating
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00—General purpose image data processing
    • G06T1/0007—Image acquisition
    • G06T5/73—
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10032—Satellite or aerial image; Remote sensing
    • G06T2207/10044—Radar image

Abstract

The invention belongs to Radar Signal Processing Technology fields, disclose a kind of Dual-Channel SAR phase error correction approach based on Estimation of Spatial Spectrum, including：The echo-signal that Dual-Channel SAR system receives scene objects is obtained, two-dimensional frequency is compressed and transformed into row distance to pulse, ambiguity solution processing imaging is carried out and obtains SAR image；Main region and fuzzy region are determined in SAR image, and calculate the related coefficient of main region and fuzzy region；Second channel SAR signals after pulse pressure of adjusting the distance carry out phase compensation and replace the second channel SAR signals after pulse pressure；It repeats the above process, the cycle-index until reaching setting；The minimum value for obtaining related coefficient, optimal compensation phase is denoted as by its corresponding phase；SAR image is the SAR image after final phasing, the influence that effective solution obscuring component corrects channel error in the corresponding cycle of optimal compensation phase.

Description

A kind of Dual-Channel SAR phase error correction approach based on Estimation of Spatial Spectrum
Technical field
The invention belongs to Radar Signal Processing Technology field more particularly to a kind of Dual-Channel SARs based on Estimation of Spatial Spectrum Phase error correction approach.
Background technology
It is more and more applied as high-resolution Wide swath SAR is imaged on remote sensing fields, while in order to obtain Ambiguity solution effect, it is desirable that orientation multichannel characteristic is completely the same.However, by environment, the influence of the factors such as equipment, Ge Getong There are inevitable errors between road.Presently, there are method have adjacency channel correlation function algorithm, by adjacency channel into Row relevant treatment realizes channel phase errors estimation and a kind of channel error bearing calibration based on subspace orthogonality, this method Using the orthogonality of signal space and spatial noise come estimating phase error, and it is applied to the correction of Distributed Small Satellite channel error In, but the method does not account for the case where obscuring component changes with fundamental frequency, directly assumes known to obscuring component number often Number.
Invention content
In view of the above-mentioned problems, the purpose of the present invention is to provide a kind of, the Dual-Channel SAR phase based on Estimation of Spatial Spectrum is missed Difference correcting method, the influence that effective solution obscuring component corrects channel error.
In order to achieve the above objectives, the present invention is realised by adopting the following technical scheme.
A kind of Dual-Channel SAR phase error correction approach based on Estimation of Spatial Spectrum, the method includes：
Step 1, obtain Dual-Channel SAR system and receive the echo-signals of scene objects, to the echo-signal respectively into The pulse compression of line-spacing descriscent, obtains the Dual-Channel SAR signal after pulse pressure, the Dual-Channel SAR signal after pulse pressure Including the first passage SAR signals after pulse pressure and the second channel SAR signals after pulse pressure；
Step 2, the Dual-Channel SAR signal by described after pulse pressure transforms to two-dimensional frequency, and carries out ambiguity solution processing Obtain the signal after ambiguity solution；
Step 3, the signal after the ambiguity solution is imaged to obtain SAR image；
Step 4, main region and fuzzy region are determined in the SAR image, and calculate the main region and described fuzzy The related coefficient in region；
Step 5, to described, second channel SAR signals after pulse pressure carry out phase compensation and obtain the after phase compensation Two channel SAR signals s'2(tr,ta)=s2(tr,ta)·exp(jφk), wherein trIndicate fast time, taIndicate slow time, phase Position φkValue range be (0,2 π),L indicates that total cycle-index of setting, k indicate kth time cycle, k's Initial value is 1, s2(tr,ta) indicate the second channel SAR signals after pulse pressure, s'2(tr,ta) indicate phase compensation after second Channel SAR signals；
Second channel SAR signals after the phase compensation are replaced into the second channel SAR signals after pulse pressure；
Step 6, it enables the value of k add 1, repeats step 2 to step 5, record main region described in cycle every time and described The value of the related coefficient of fuzzy region, total cycle-index until reaching setting；
Step 7, the minimum value for obtaining the related coefficient of the main region and the fuzzy region, by the related coefficient The corresponding phase of minimum value is denoted as optimal compensation phase；SAR figures to be obtained in the corresponding cycle of the optimal compensation phase Picture is the SAR image after final phasing.
Beneficial effects of the present invention are：Due to fuzzy energy and true primary area energy mutual aliasing in time domain, frequency domain, Existing processing method is difficult under conditions of not losing resolution ratio, and the present invention effectively inhibits orientation compared to sub-aperture error correction Caused by fuzzy " ghost ", and context of methods does not need to the apriority of obscuring component, the more effective clarity for promoting image.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with Obtain other attached drawings according to these attached drawings.
Fig. 1 is the stream of the Dual-Channel SAR phase error correction approach provided in an embodiment of the present invention based on Estimation of Spatial Spectrum Journey schematic diagram；
Fig. 2 is provided in an embodiment of the present invention.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other Embodiment shall fall within the protection scope of the present invention.
The embodiment of the present invention provides a kind of Dual-Channel SAR phase error correction approach based on Estimation of Spatial Spectrum, such as Fig. 1 institutes Show, the method includes：
Step 1, obtain Dual-Channel SAR system and receive the echo-signals of scene objects, to the echo-signal respectively into The pulse compression of line-spacing descriscent, obtains the Dual-Channel SAR signal after pulse pressure, the Dual-Channel SAR signal after pulse pressure Including the first passage SAR signals after pulse pressure and the second channel SAR signals after pulse pressure.
Step 1 specifically includes following sub-step：
(1a) obtains the echo-signal S' that Dual-Channel SAR system receives scene objectsi(tr,ta)：
Wherein, the twin-channel channel number of i expressions, and i=1,2, trIndicate fast time, taIndicate slow time, ar() and aa() is respectively the window function and orientation window function of radar linear frequency-modulated signal, R (ta,RB) it is antenna phase center to target Oblique distance, RBTarget to the line of flight minimum distance, C indicate the light velocity, λ indicate centre frequency corresponding wavelength, γ indicate frequency modulation Rate；
(1b) compresses the echo-signal into row distance to pulse respectively, obtains the letter of the Dual-Channel SAR after pulse pressure Number
Wherein, sr(tr) it is matched filtering function, and sr(tr)=ar(tr)exp(-jπγtr 2), to obtain apart from pulse pressure Dual-Channel SAR signal s afterwards1(tr,ta) and s2(tr,ta)。
Step 2, the Dual-Channel SAR signal by described after pulse pressure transforms to two-dimensional frequency, and carries out ambiguity solution processing Obtain the signal after ambiguity solution.
Step 2 specifically includes following sub-step：
(2a) is by the principle of point in phase bit by the Dual-Channel SAR signal s after pulse pressure1(tr,ta) and s2(tr,ta) transformation To two-dimensional frequency, two-dimensional frequency signal S (f are obtainedr,fb)=[S1(fr,fb),S2(fr,fb)]T, wherein frIndicate frequency of distance, fbIndicate baseband frequency；
(2b) obtains array manifold matrix steering vector A (fb)=[α-1,α0,α1]；Wherein, αrFor steering vector, andWherein, x1Indicate between second channel and first passage displaced phase center away from From fbIndicate that baseband frequency, v indicate radar speed, r ∈ (- 1,0,1)；
(2c) carries out ambiguity solution to the two-dimensional frequency signal and handles to obtain M signal Sref(tr,ta)=A-1(fb)·S (fr,fb), to the M signal Sref(tr,ta) carry out after azimuth dimension and the inverse Fourier transform apart from dimension obtain ambiguity solution Signal s (tr,ta)。
Step 3, the signal after the ambiguity solution is imaged to obtain SAR image.
Step 3 is specially：To the signal s (t after the ambiguity solutionr,ta) be imaged to obtain SAR image I0=s (tr, ta)·H(ta)；Wherein, H (ta) indicate azimuth match function, andkaIndicate orientation frequency modulation Rate.
Step 4, main region and fuzzy region are determined in the SAR image, and calculate the main region and described fuzzy The related coefficient in region.
Step 4 specifically includes following sub-step：
(4a) randomly selects the larger region of signal power as main region Imain；
It should be noted that the larger region of signal power is the region that will appear a large amount of false target, the region is tight Ghost image rings the interpretation to image, and there are the fuzzy regions of a large amount of false targets as main region I for artificial arbitrary selection onemain, It is concentrated mainly on I0Borderline region.
(4b) is according to the main region ImainRegional location determine corresponding fuzzy region IambRegional location：
Wherein,Indicate fuzzy region IambRight margin in SAR image I0Position, i.e. image array I0 Row,Indicate fuzzy region IambLeft margin in SAR image I0Position, i.e. image array I0 Row, NlAnd Nr Main region I is indicated respectivelymainRight boundary, NaIndicate single channel orientation sampling number；Indicate fuzzy region Iamb Coboundary in SAR image I0Position, i.e. image array I0 Row,Indicate fuzzy region IambLower boundary exist SAR image I0Position, i.e. image array I0 Row, NuAnd NlMain region I is indicated respectivelymainUp-and-down boundary；
(4c) calculates the related coefficient of the main region and the fuzzy region：
Wherein, N indicates main region either total line number M expression main regions of fuzzy region or total columns of fuzzy region, institute The size for stating main region is identical with the size of the fuzzy region, and Imain(n, m) and Iamb(n, m) indicates the element value of line n m row in main region and fuzzy region, n ∈ (1, N), m ∈ respectively (1, M).
Step 5, to described, second channel SAR signals after pulse pressure carry out phase compensation and obtain the after phase compensation Two channel SAR signals s'2(tr,ta)=s2(tr,ta)·exp(jφk), wherein trIndicate fast time, taIndicate slow time, phase Position φkValue range be (0,2 π),L indicates that total cycle-index of setting, k indicate kth time cycle, s2 (tr,ta) indicate the second channel SAR signals after pulse pressure, s'2(tr,ta) indicate the second channel SAR letters after phase compensation Number；
Second channel SAR signals after the phase compensation are replaced into the second channel SAR signals after pulse pressure.
Step 6, it enables the value of k add 1, repeats step 2 to step 5, record main region described in cycle every time and described The value of the related coefficient of fuzzy region, total cycle-index until reaching setting.
Step 7, the minimum value for obtaining the related coefficient of the main region and the fuzzy region, by the related coefficient The corresponding phase of minimum value is denoted as optimal compensation phase；SAR figures to be obtained in the corresponding cycle of the optimal compensation phase Picture is the SAR image after final phasing.
Effectiveness of the invention can be described further by following emulation and measured data.
1) data are emulated
1 simulation parameter of table
2) measured data result
Fig. 2 (a) is the data imaging after technical solution of the present invention correction as a result, abscissa indicates orientation, ordinate table Show distance to Fig. 2 (b) is the imaging results corrected by subspace error calibration method, is used based on subspace error correction Constant obscuring component and fixed obscuring component number；From imaging results above, it can be seen that Fig. 2 (b) goes out Show and has significantly obscured, and Fig. 2 (a) as a result of accurate obscuring component number and compensates phase, in imaging results not Occur significantly obscuring, and the method for the present invention does not need to the apriority of obscuring component, can further prove from imaging results The validity of inventive algorithm.
One of ordinary skill in the art will appreciate that：Realize that all or part of step of above method embodiment can pass through The relevant hardware of program instruction is completed, and program above-mentioned can be stored in computer read/write memory medium, which exists When execution, step including the steps of the foregoing method embodiments is executed；And storage medium above-mentioned includes：ROM, RAM, magnetic disc or CD Etc. the various media that can store program code.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain Lid is within protection scope of the present invention.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.

Claims (5)

1. a kind of Dual-Channel SAR phase error correction approach based on Estimation of Spatial Spectrum, which is characterized in that the method includes：
Step 1, obtain Dual-Channel SAR system and receive the echo-signals of scene objects, to the echo-signal into row distance to Pulse is compressed, and the Dual-Channel SAR signal after pulse pressure is obtained, and the Dual-Channel SAR signal after pulse pressure includes distance First passage SAR signals after pulse pressure and the second channel SAR signals after pulse pressure；
Step 2, the Dual-Channel SAR signal by described after pulse pressure transforms to two-dimensional frequency, and carries out ambiguity solution and handle to obtain Signal after ambiguity solution；
Step 3, the signal after the ambiguity solution is imaged to obtain SAR image；
Step 4, main region and fuzzy region are determined in the SAR image, and calculate the main region and the fuzzy region Related coefficient；
Step 5, to described, to carry out phase compensation obtains after phase compensation second logical for second channel SAR signals after pulse pressure Road SAR signals s'2(tr,ta)=s2(tr,ta)·exp(jφk), wherein trIndicate fast time, taIndicate slow time, phasek Value range be (0,2 π),L indicates that total cycle-index of setting, k indicate that kth time cycle, the initial value of k are 1, k ∈ [1,2 ..., L], s2(tr,ta) indicate the second channel SAR signals after pulse pressure, s'2(tr,ta) indicate that phase is mended Second channel SAR signals after repaying；
Second channel SAR signals after the phase compensation are replaced into the second channel SAR signals after pulse pressure, and will It is with the first passage SAR signals after pulse pressure as the Dual-Channel SAR signal after pulse pressure；
Step 6, it enables the value of k add 1, repeats step 2 to step 5, record main region described in cycle every time and described fuzzy The value of the related coefficient in region, total cycle-index until reaching setting；
Step 7, the minimum value for obtaining the related coefficient of the main region and the fuzzy region, by the minimum of the related coefficient It is worth corresponding phase and is denoted as optimal compensation phase；To which the SAR image obtained in the corresponding cycle of the optimal compensation phase is SAR image after final phasing.
2. a kind of Dual-Channel SAR phase error correction approach based on Estimation of Spatial Spectrum according to claim 1, feature It is, step 1 specifically includes following sub-step：
(1a) obtains the echo-signal S' that Dual-Channel SAR system receives scene objectsi(tr,ta)：
Wherein, the twin-channel channel number of i expressions, and i=1,2, trIndicate fast time, taIndicate slow time, ar() and aa () is respectively the window function and orientation window function of radar linear frequency-modulated signal, R (ta,RB) it is antenna phase center to scene mesh Target oblique distance, RBFor the minimum distance of scene objects to the line of flight, C indicates that the light velocity, λ indicate the center frequency of SAR transmitting signals Rate corresponding wavelength, γ indicate frequency modulation rate；
(1b) compresses the echo-signal into row distance to pulse, obtains the Dual-Channel SAR signal after pulse pressure
Wherein, sr(tr) it is matched filtering function, and sr(tr)=ar(tr)exp(-jπγtr 2)；To obtain after pulse pressure Dual-Channel SAR signal s1(tr,ta) and s2(tr,ta)。
3. a kind of Dual-Channel SAR phase error correction approach based on Estimation of Spatial Spectrum according to claim 1, feature It is, step 2 specifically includes following sub-step：
(2a) is by the principle of point in phase bit by the Dual-Channel SAR signal s after pulse pressure1(tr,ta) and s2(tr,ta) transform to two Frequency domain is tieed up, two-dimensional frequency signal S (f are obtainedr,fb)=[S1(fr,fb),S2(fr,fb)]T, wherein frIndicate frequency of distance, fbTable Show baseband frequency, S1(fr,fb) indicate first passage SAR signals two-dimensional frequency signal, S2(fr,fb) indicate second channel SAR The two-dimensional frequency signal of signal；
(2b) obtains array manifold matrix steering vector A (fb)=[α-1,α0,α1]；Wherein, αrFor steering vector, andWherein, x1Indicate between second channel and first passage displaced phase center away from From fbIndicate that baseband frequency, v indicate radar speed, r ∈ (- 1,0,1)；
(2c) carries out ambiguity solution to the two-dimensional frequency signal and handles to obtain M signal Sref(tr,ta)=A-1(fb)·S(fr, fb), to the M signal Sref(tr,ta) carry out azimuth dimension and the inverse Fourier transform apart from dimension and obtain the signal after ambiguity solution s(tr,ta)。
4. a kind of Dual-Channel SAR phase error correction approach based on Estimation of Spatial Spectrum according to claim 1, feature It is, step 3 is specially：
To the signal s (t after the ambiguity solutionr,ta) be imaged to obtain SAR image I0=s (tr,ta)·H(ta)；
Wherein, H (ta) indicate azimuth match function, andkaIndicate orientation frequency modulation rate.
5. a kind of Dual-Channel SAR phase error correction approach based on Estimation of Spatial Spectrum according to claim 1, feature It is, step 4 specifically includes following sub-step：
(4a) randomly selects any region of the signal power more than preset value as main region I in the SAR imagemain；
(4b) is according to the main region ImainRegional location determine corresponding fuzzy region IambRegional location：
Wherein,Indicate fuzzy region IambRight margin in SAR image I0Position, i.e. image array I0 Row,Indicate fuzzy region IambLeft margin in SAR image I0Position, i.e. image array I0 Row, NlAnd NrRespectively Indicate main region ImainRight boundary, NaIndicate single channel orientation sampling number；Indicate fuzzy region IambIt is upper Boundary is in SAR image I0Position, i.e. image array I0 Row,Indicate fuzzy region IambLower boundary in SAR Image I0Position, i.e. image array I0 Row, NuAnd NlMain region I is indicated respectivelymainUp-and-down boundary；
(4c) calculates the related coefficient of the main region and the fuzzy region：
Wherein, N indicates main region either total line number M expression main regions of fuzzy region or total columns of fuzzy region, described The size of main region is identical with the size of the fuzzy region, and Imain(n, m) and Iamb(n, m) indicates the element value of line n m row in main region and fuzzy region, n ∈ (1, N), m ∈ respectively (1, M).
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CN108965194A (en) * 2018-08-16 2018-12-07 北京邮电大学 A kind of method and device that signal phase restores
CN110488283A (en) * 2019-07-29 2019-11-22 南京航空航天大学 A kind of error calibration method for the channel multichannel HRWS-SAR
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CN111336964A (en) * 2020-03-27 2020-06-26 重庆市计量质量检测研究院 Error compensation method and measurement error evaluation method based on uniaxial symmetry standard device
CN113419240A (en) * 2021-04-26 2021-09-21 中国科学院空天信息创新研究院 Moving target detection method based on dual-channel SAR, dual-channel SAR and storage medium
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