Applications of Compressed Sensing for SAR Moving-Target Velocity Estimation and Image Compression

2011 ◽  
Vol 60 (8) ◽  
pp. 2848-2860 ◽  
Author(s):  
Ahmed Shaharyar Khwaja ◽  
Jianwei Ma
Keyword(s):  
Compressed Sensing ◽  
Image Compression ◽  
Velocity Estimation ◽  
Target Velocity ◽  
Moving Target

scholarly journals A Moving Target Velocity Estimation Method Based on the MC-MASA SAR Mode

2021 ◽  
Vol 13 (9) ◽  
pp. 1632
Author(s):  
Yamin Wang ◽  
Jie Chen ◽  
Wei Liu ◽  
Chunsheng Li ◽  
Wei Yang
Keyword(s):  
Estimation Method ◽  
Velocity Estimation ◽  
Estimation Accuracy ◽  
Target Range ◽  
Target Velocity ◽  
Moving Target ◽  
Sar Images ◽  
Background Clutter ◽  
Along Track ◽  
Displacement Phase

Imaging position shift based on the multiple azimuth squint angles (MASA) mode is effective for target azimuth velocity estimation, whereas accuracy is low when target range velocity is high. In this paper, the estimation problem for both target azimuth and range velocities is considered based on the multi-channels MASA (MC-MASA) mode. Firstly, the acquisition geometry of MC-MASA mode and Doppler characteristics of a moving target are analyzed in detail, especially in squint mode. Then, for better moving target estimation, the stationary background clutter is removed using the displacement phase center antenna (DPCA) technique, and the failure in range velocity estimation with sequential SAR images is also discussed. Furthermore, a modified along-track interferometry (ATI) is proposed to preliminarily reconstruct the azimuth-and-range velocity map based on the MC-MASA mode. Since the velocity estimation accuracy is dependent on squint angle and signal-to-clutter ratio (SCR), the circumstances are divided into three cases with different iteration estimation strategies, which could expand the scene application scope of velocity estimation and achieve a high estimation accuracy along both azimuth and range directions. Finally, the performance of the proposed method is demonstrated by experimental results.

scholarly journals Azimuth Multichannel Reconstruction for Moving Targets in Geosynchronous Spaceborne–Airborne Bistatic SAR

2020 ◽  
Vol 12 (11) ◽  
pp. 1703
Author(s):  
Wei Xu ◽  
Zhengbin Wei ◽  
Pingping Huang ◽  
Weixian Tan ◽  
Bo Liu ◽  
...  
Keyword(s):  
Velocity Estimation ◽  
Target Velocity ◽  
Moving Target ◽  
Reconstruction Method ◽  
Moving Targets ◽  
Raw Data ◽  
Stationary Target ◽  
Slant Range ◽  
Geometry Model ◽  
Imaging Results

In a multichannel geosynchronous spaceborne–airborne bistatic synthetic aperture radar (GEO-SA-BiSAR) system, the airborne receiver can obtain high-resolution microwave images with good signal-to-noise ratios (SNRs) by passively receiving echoes from the desired area. Since the Doppler modulation and range history of a moving target are obviously different from a stationary target, a signal geometry model for moving targets in multichannel GEO-SA-BiSAR is established in this paper. According to simulation results, the along track velocity introduces target defocusing in azimuth, and the slant range velocity mainly causes multiple false targets. To resolve these problems, a modified multichannel reconstruction method in azimuth channel GEO-SA-BiSAR is proposed according to the azimuth multichannel impulse response of the imaged moving target. Before azimuth multichannel raw data combination, both spatial-variant range cell migration correction (RCMC) and azimuth nonlinear chirp scaling (ANLCS) should be performed to reduce the influence of the range offset and lower the Doppler bandwidth of the whole raw data, respectively. Afterward, a novel azimuth multichannel reconstruction algorithm is carried out via the modified reconstruction matrix based on the estimated target velocity. The target slant range velocity estimation is implemented by introducing the signal intensity ratio (SIR). Compared with the conventional method for the stationary target to handle the raw data of the moving target, the false targets could be obviously suppressed by using the proposed approach. Imaging results on both simulated point and distributed scene targets validate the proposed multichannel reconstruction approach.

scholarly journals TDOA Based Moving Target Velocity Estimation in Sensor Network

2015 ◽  
Vol 64 (3) ◽  
pp. 445-450
Author(s):  
Yong Hwi Kim ◽  
Min Soo Park ◽  
Jin Bae Park ◽  
Tae Sung Yoon
Keyword(s):  
Sensor Network ◽  
Velocity Estimation ◽  
Target Velocity ◽  
Moving Target
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