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高分辨率宽测绘带合成孔径雷达中运动目标方位多通道重构研究

Investigation of Azimuth Multichannel Reconstruction for Moving Targets in High Resolution Wide Swath SAR.

作者信息

Tan Weixian, Xu Wei, Huang Pingping, Huang Zengshu, Qi Yaolong, Han Kuoye

机构信息

College of Information Engineering, Inner Mongolia University of Technology, Hohhot 010051, China.

Inner Mongolia Key Laboratory of Radar Technology and Application, Hohhot 010051, China.

出版信息

Sensors (Basel). 2017 Jun 2;17(6):1270. doi: 10.3390/s17061270.

DOI:10.3390/s17061270
PMID:28574472
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5492360/
Abstract

The azimuth multichannel imaging scheme with the large receive antenna divided into multiple sub-apertures usually leads to azimuth non-uniform sampling, and echoes from all azimuth channels should be reconstructed based on the signal model before conventional SAR imaging. Unfortunately, the multichannel signal model of a moving target is different from that of a fixed target. This paper analyzes the multichannel signal model of the moving target and the effect of the target velocity on azimuth multichannel reconstruction. Based on the multichannel signal mode of the moving target, a new multichannel signal reconstruction algorithm is proposed. Furthermore, the slant range velocity is estimated by computing signal energy distribution. Simulation results on point targets validate the proposed approach.

摘要

将大型接收天线划分为多个子孔径的方位多通道成像方案通常会导致方位非均匀采样,并且在传统合成孔径雷达(SAR)成像之前,应基于信号模型重建所有方位通道的回波。不幸的是,运动目标的多通道信号模型与固定目标的不同。本文分析了运动目标的多通道信号模型以及目标速度对方位多通道重建的影响。基于运动目标的多通道信号模型,提出了一种新的多通道信号重建算法。此外,通过计算信号能量分布来估计斜距速度。点目标的仿真结果验证了所提方法的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be21/5492360/94f9a3f1ffc8/sensors-17-01270-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be21/5492360/a79d15f27bf6/sensors-17-01270-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be21/5492360/0c10dc1414cb/sensors-17-01270-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be21/5492360/6aa26f4f8945/sensors-17-01270-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be21/5492360/13ab9d2a5f37/sensors-17-01270-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be21/5492360/528b9d7208a7/sensors-17-01270-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be21/5492360/e7d57d4d88b5/sensors-17-01270-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be21/5492360/229de5efaac9/sensors-17-01270-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be21/5492360/83a06281bf02/sensors-17-01270-g008a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be21/5492360/f9729260aeb1/sensors-17-01270-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be21/5492360/0fd0c0d8c6e1/sensors-17-01270-g010a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be21/5492360/94f9a3f1ffc8/sensors-17-01270-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be21/5492360/a79d15f27bf6/sensors-17-01270-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be21/5492360/0c10dc1414cb/sensors-17-01270-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be21/5492360/6aa26f4f8945/sensors-17-01270-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be21/5492360/13ab9d2a5f37/sensors-17-01270-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be21/5492360/528b9d7208a7/sensors-17-01270-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be21/5492360/e7d57d4d88b5/sensors-17-01270-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be21/5492360/229de5efaac9/sensors-17-01270-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be21/5492360/83a06281bf02/sensors-17-01270-g008a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be21/5492360/f9729260aeb1/sensors-17-01270-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be21/5492360/0fd0c0d8c6e1/sensors-17-01270-g010a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be21/5492360/94f9a3f1ffc8/sensors-17-01270-g011.jpg

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