Focusing Bistatic SAR Data Under Complicated Motion Through Differential Phase Filtering in Variable Doppler Bands
Bistatic SAR (BiSAR) imaging is becoming more and more mature, nevertheless restricted by the significant problem of 2-D space-variation of echo signal. In practical applications, the geometry configurations and platform motion of BiSAR are often complicated, making the problem of space-variation se...
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doaj-0dcf9c3f435348688a74a9a4b19b116c2021-09-22T23:00:08ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352021-01-01149196920910.1109/JSTARS.2021.31103249531492Focusing Bistatic SAR Data Under Complicated Motion Through Differential Phase Filtering in Variable Doppler BandsYuxuan Miao0https://orcid.org/0000-0001-9796-7995Junjie Wu1https://orcid.org/0000-0002-4922-2398Zhichao Sun2https://orcid.org/0000-0001-9346-4418Zhongyu Li3https://orcid.org/0000-0002-0409-8207Jianyu Yang4https://orcid.org/0000-0002-4726-8384School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaBistatic SAR (BiSAR) imaging is becoming more and more mature, nevertheless restricted by the significant problem of 2-D space-variation of echo signal. In practical applications, the geometry configurations and platform motion of BiSAR are often complicated, making the problem of space-variation severe and causing it hard to efficiently process BiSAR data of large imaging scene. Focusing on this problem, this article proposes a new imaging method for large scene-size imaging that can adapt to general spotlight BiSAR with complicated platform motion. This method first roughly focuses the echo data in range-Doppler domain through azimuth-dechirp and removes the residual range-azimuth coupling via Keystone transform. Then making use of the tolerance of SAR imaging to slight phase error, the full Doppler axis is down-sampled with a certain ratio to form a much smaller amount of Doppler cells called Doppler bands. Through restricting the value of the down-sampling ratio, the variance of differential phase in each Doppler band after the dechirp is controlled within a given tolerance. As a result, the differential phase can be compensated for in variable Doppler bands for a large imaging scene with high efficiency. The computational complexity of the proposed method is indicated as low as logarithmic and its effectiveness is verified through numerical simulations.https://ieeexplore.ieee.org/document/9531492/Azimuth dechirpbistatic SARcomplicated motiondifferential phaseKeystone transform (KT)large scene |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yuxuan Miao Junjie Wu Zhichao Sun Zhongyu Li Jianyu Yang |
spellingShingle |
Yuxuan Miao Junjie Wu Zhichao Sun Zhongyu Li Jianyu Yang Focusing Bistatic SAR Data Under Complicated Motion Through Differential Phase Filtering in Variable Doppler Bands IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Azimuth dechirp bistatic SAR complicated motion differential phase Keystone transform (KT) large scene |
author_facet |
Yuxuan Miao Junjie Wu Zhichao Sun Zhongyu Li Jianyu Yang |
author_sort |
Yuxuan Miao |
title |
Focusing Bistatic SAR Data Under Complicated Motion Through Differential Phase Filtering in Variable Doppler Bands |
title_short |
Focusing Bistatic SAR Data Under Complicated Motion Through Differential Phase Filtering in Variable Doppler Bands |
title_full |
Focusing Bistatic SAR Data Under Complicated Motion Through Differential Phase Filtering in Variable Doppler Bands |
title_fullStr |
Focusing Bistatic SAR Data Under Complicated Motion Through Differential Phase Filtering in Variable Doppler Bands |
title_full_unstemmed |
Focusing Bistatic SAR Data Under Complicated Motion Through Differential Phase Filtering in Variable Doppler Bands |
title_sort |
focusing bistatic sar data under complicated motion through differential phase filtering in variable doppler bands |
publisher |
IEEE |
series |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
issn |
2151-1535 |
publishDate |
2021-01-01 |
description |
Bistatic SAR (BiSAR) imaging is becoming more and more mature, nevertheless restricted by the significant problem of 2-D space-variation of echo signal. In practical applications, the geometry configurations and platform motion of BiSAR are often complicated, making the problem of space-variation severe and causing it hard to efficiently process BiSAR data of large imaging scene. Focusing on this problem, this article proposes a new imaging method for large scene-size imaging that can adapt to general spotlight BiSAR with complicated platform motion. This method first roughly focuses the echo data in range-Doppler domain through azimuth-dechirp and removes the residual range-azimuth coupling via Keystone transform. Then making use of the tolerance of SAR imaging to slight phase error, the full Doppler axis is down-sampled with a certain ratio to form a much smaller amount of Doppler cells called Doppler bands. Through restricting the value of the down-sampling ratio, the variance of differential phase in each Doppler band after the dechirp is controlled within a given tolerance. As a result, the differential phase can be compensated for in variable Doppler bands for a large imaging scene with high efficiency. The computational complexity of the proposed method is indicated as low as logarithmic and its effectiveness is verified through numerical simulations. |
topic |
Azimuth dechirp bistatic SAR complicated motion differential phase Keystone transform (KT) large scene |
url |
https://ieeexplore.ieee.org/document/9531492/ |
work_keys_str_mv |
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1717371187323994112 |