System parameter optimisation for moving target detection and imaging in multi-band synthetic aperture radar based on genetic algorithm

被引：6

作者：

Wang, Jinwei ^{[1
]}

Zhou, Feng ^{[1
]}

Tao, Mingliang ^{[1
]}

Zhang, Zijing ^{[1
]}

Sun, Guangcai ^{[1
]}

机构：

[1] Xidian Univ, Natl Lab Radar Signal Proc, Xian 710071, Shaanxi, Peoples R China

来源：

IET RADAR SONAR AND NAVIGATION | 2016年 / 10卷 / 01期

基金：

中国国家自然科学基金;

关键词：

synthetic aperture radar; object detection; radar imaging; radar detection; genetic algorithms; Radon transforms; system parameter optimisation; moving target detection; moving target imaging; multiband synthetic aperture radar; genetic algorithm; single channel synthetic aperture radar; single channel multiband SAR; radar band parameter; pulse repetition frequency; radon transform; deramp method; SAR; MULTICHANNEL;

D O I：

10.1049/iet-rsn.2015.0080

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

To overcome the shortcomings of the conventional moving target detection method in single-channel synthetic aperture radar (SAR), this study 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 optimise the choice of radar band parameters, for example, 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 utilisation rate. Then, moving target detection, imaging and location could be accomplished with the radon transform and the deramp method. Finally, simulation results are presented to demonstrate the effectiveness and feasibility of the proposed method.

引用

页码：146 / 154

页数：9

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