Along-track velocity estimation for SAR moving target in complex image domain

Author(s):  
Zu-Zhen Huang ◽  
Jia Xu ◽  
Zhi-Rui Wang ◽  
Xiang-Gen Xia ◽  
Teng Long ◽  
...  
2019 ◽  
Vol 2019 (20) ◽  
pp. 7026-7029
Author(s):  
Zuzhen Huang ◽  
Zegang Ding ◽  
Canzhen Meng ◽  
Yinchao Ge

2012 ◽  
Vol 50 (2) ◽  
pp. 538-552 ◽  
Author(s):  
Jia Xu ◽  
Yu Zuo ◽  
Bin Xia ◽  
Xiang-Gen Xia ◽  
Ying-Ning Peng ◽  
...  

2021 ◽  
Vol 13 (9) ◽  
pp. 1632
Author(s):  
Yamin Wang ◽  
Jie Chen ◽  
Wei Liu ◽  
Chunsheng Li ◽  
Wei Yang

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.


2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Chao Chen ◽  
Yan Li ◽  
Kuihua Huang ◽  
Yonghong Long ◽  
Linlin Zhang ◽  
...  

Synthetic aperture radar (SAR) was originally exploited to image stationary scenes. However, it is important to derive target information of velocity for many applications. The fractional Fourier transform (FrFT) is a generalization of the classical Fourier transform and is well-known as a useful tool to estimate the chirp rate of linear frequency-modulated (LFM) signals. Motion compensation is critical to moving target imaging. It is difficult for us to obtain the actual motion parameters in real scenarios. Based on the moving target echo model in airborne along-track interferometric SAR (ATI-SAR) and expression of the ATI phase, a method is proposed to estimate the ship velocity by combining the ATI phase with FrFT. First, we use the FrFT to evaluate the chirp rate of the moving target echo. Then, we construct an equation to estimate the ship velocity using the chirp rate estimation, peak response time, and ATI phase. Finally, the simulation experiments are used to validate the effectiveness of the proposed method.


2010 ◽  
Vol 53 (4) ◽  
pp. 854-866 ◽  
Author(s):  
Yu Zuo ◽  
Jia Xu ◽  
YingNing Peng ◽  
XiangGen Xia

Author(s):  
Jia Xu ◽  
Yu Zuoi ◽  
Bing Xia ◽  
Xiang-Gen Xia ◽  
Ying-Ning Peng ◽  
...  

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