一种波束域的高速空中动目标检测及参数估计方法

doi:10.3969/j.issn.0372-2112.2014.01.003

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摘要 Keystone变换所需的插值运算存在计算量大的问题，尤其是用于空时自适应处理（Space-Time Adaptive Processing，STAP）时需要对每个阵元接收的数据分别进行Keystone变换，给工程实现带来了困难.为了解决这一问题，提出了一种在波束域进行Keystone变换校正目标距离走动的新方法，该方法将传统的对每个阵元数据的Keystone变换转换为在波束域进行Keystone变换，从而将N个阵元对应的N次Keystone变换转换为只在主波束内进行一次Keystone变换，这样做使算法的主要运算量降低为原来的1/N.然后将压缩感知（Compressed Sensing，CS）理论用于空时自适应处理的目标参数估计，取得了良好的估计性能.最后通过仿真实验验证了本文方法的有效性.

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	贾琼琼
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关键词 ：机载雷达, 空时自适应处理, 动目标检测, Keystone变换, 压缩感知

Abstract：Computation burden and the processing complexity of interpolation operation are the problems Keystone formatting faces.Especially in STAP,where Keystone formatting should be applied to each of the element,which makes it unfeasible for real time processing.Based on these,a new practical method with low computation burden is given,which removes the clutter firstly,and a space domain beam forming is done;after that,Keystone formatting is applied to the beam domain data for range walk compensation.By the proposed method,only one Keystone formatting is needed compared with the KF-STAP method,therefore,the computation burden can be reduced dramatically.Besides,a compressed sensing (CS) based targets' parameter estimation method is proposed for the targets' velocity estimation of STAP.Effectiveness of the proposed methods is verified via simulation examples.

Key words： airborne radar space-time adaptive processing (STAP) moving target detection keystone formatting compressed sensing (CS)

收稿日期: 2012-09-10 出版日期: 2013-05-02

ZTFLH:

TN957

基金资助:国家自然科学基金（No.61071194，No.61079008）；国家科技支撑计划课题（No.2011BAH24B12）；中央高校基本科研业务费（No.ZXH2011C006）

作者简介: 贾琼琼 女.1986年1月出生于陕西.2011年毕业于中国民航大学通信与信息系统专业，获硕士学位.现为中国民航大学教师，研究方向为雷达信号处理、空时自适应信号处理.在国内外重要学术期刊和会议上共发表和录用学术论文10余篇. E-mail:qqjia@cauc.edu.cn 吴仁彪 男，1966年生于武汉市.1994年获西安电子科技大学博士学位，后在西北工业大学做博士后，1996年至今先后到英国和美国以博士后和高级访问学者身份工作近5年.现任中国民航大学副校长，天津市智能信号与图像处理重点实验室主任，天津市特聘教授，博士生导师.研究方向为阵列信号处理，自适应阵列信号处理，现代谱估计及其在雷达、通信、导航中的应用.已出版学术专著6部，共发表学术论文300余篇，其中在国际刊物和重要国际会议发表论文120余篇，被国际著名的检索工具SCI和EI收录150余篇.2003年国家杰出青年基金获得者.

引用本文:

贾琼琼, 吴仁彪. 一种波束域的高速空中动目标检测及参数估计方法[J]. 电子学报, 2014, 42(1): 14-19. JIA Qiong-qiong, WU Ren-biao. Detection and Parameter Estimation of Fast Moving Air Targets in Beamspace. Chinese Journal of Electronics, 2014, 42(1): 14-19.

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http://www.ejournal.org.cn/CN/10.3969/j.issn.0372-2112.2014.01.003 或 http://www.ejournal.org.cn/CN/Y2014/V42/I1/14

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