Genetic algorithm based multi-band SAR parameter optimization for MTD

Jinwei Wang, Feng Zhou, Mingliang Tao, Zijing Zhang, Mengdao Xing

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

To overcome the shortcomings of the conventional moving target detection method in single-channel synthetic aperture radar (SAR), this paper proposes a novel method for moving target detection in single-channel multi-band SAR. In this method, according to the detectable velocity in different bands, the genetic algorithm is applied to optimize the choice of radar band parameters, e.g., wavelength and pulse repetition frequency. With the obtained optimal parameter combinations, the multi-band SAR system could achieve the highest velocity detection rate and the maximal bands utilization rate. Then, moving target detection, imaging and location could be accomplished with the Radon transform and Deramp method. Finally, simulation results are presented to demonstrate the effectiveness and feasibility of the proposed method.

源语言英语
主期刊名Proceedings of the 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2015
出版商Institute of Electrical and Electronics Engineers Inc.
405-408
页数4
ISBN(电子版)9781467372961
DOI
出版状态已出版 - 23 10月 2015
已对外发布
活动5th IEEE Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2015 - Singapore, 新加坡
期限: 1 9月 20154 9月 2015

出版系列

姓名Proceedings of the 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2015

会议

会议5th IEEE Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2015
国家/地区新加坡
Singapore
时期1/09/154/09/15

指纹

探究 'Genetic algorithm based multi-band SAR parameter optimization for MTD' 的科研主题。它们共同构成独一无二的指纹。

引用此