互相关干扰下的MIMO雷达自适应脉冲压缩方法

doi:10.3969/j.issn.1001-2400.2011.04.016

J4 ›› 2011, Vol. 38 ›› Issue (4): 89-94.doi: 10.3969/j.issn.1001-2400.2011.04.016

互相关干扰下的MIMO雷达自适应脉冲压缩方法

刘韵佛;刘峥;谢荣

(西安电子科技大学雷达信号处理国家重点实验室，陕西西安 710071)

收稿日期:2010-06-12 出版日期:2011-08-20 发布日期:2011-09-28
通讯作者: 刘韵佛
作者简介:刘韵佛(1982-)，男，西安电子科技大学博士研究生，E-mail: minstrel_alf@yahoo.com．
基金资助:
国家部委基金资助项目(9140C0105010702)

Adaptive pulse compression for MIMO radar in cross correlation interference

LIU Yunfo;LIU Zheng;XIE Rong

(National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an 710071， China)

Received:2010-06-12 Online:2011-08-20 Published:2011-09-28
Contact: LIU Yunfo

摘要/Abstract

摘要：

MIMO雷达各阵元发射波形之间一般不完全正交，用传统脉冲压缩方法处理会导致较高距离旁瓣电平，进而影响检测性能．在建立单站MIMO雷达回波模型的基础上，以最大化系统输出信号与干扰噪声比为准则，提出了一种基于迭代思想的MIMO雷达自适应脉冲压缩方法．该方法利用对目标距离像信息的多次估计值，自适应地对距离旁瓣、互相关干扰和噪声进行抑制．仿真实验表明，针对发射多相编码信号的MIMO雷达，该算法可以显著降低距离旁瓣，且在目标运动和多目标情况下也优于传统处理方法．

关键词: MIMO雷达, 脉冲压缩, 自适应处理, 距离旁瓣抑制, 最大信干噪比

Abstract:

The traditional MIMO radar pulse compression algorithm has a high-level range sidelobe since the radar waveforms are generally not totally orthogonal, which causes bad detection performance. In this paper, based on maximal signal-to-inference plus noise ratio criteria, a reiteration-based adaptive pulse compression algorithm for MIMO radar is proposed. This algorithm uses the range profile information to adatively suppress the range sidelobe, interference and noise. Simulation results show that the range sidelobe can be evidently reduced and works effrctively both in moving target and multiple target cases.

Key words: MIMO radar, pulse compression, adaptive processing, range sidelobe suppression, maximal signal-to interference plus noise ratio

中图分类号:

TN951

刘韵佛;刘峥;谢荣. 互相关干扰下的MIMO雷达自适应脉冲压缩方法[J]. J4, 2011, 38(4): 89-94.

LIU Yunfo;LIU Zheng;XIE Rong. Adaptive pulse compression for MIMO radar in cross correlation interference[J]. J4, 2011, 38(4): 89-94.

参考文献

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互相关干扰下的MIMO雷达自适应脉冲压缩方法

Adaptive pulse compression for MIMO radar in cross correlation interference

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