Waveform optimization for MIMO-STAP to improve the detection performance

被引：40

作者：

Wang, Hongyan ^{[1
]}

Liao, Guisheng ^{[1
]}

Li, Jun ^{[1
]}

Lv, Hui ^{[1
]}

机构：

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

来源：

SIGNAL PROCESSING | 2011年 / 91卷 / 11期

关键词：

Multi-input multi-output (MIMO) radar; Waveform optimization; Space-time adaptive processing (STAP); Semidefinite programming (SDP); RADAR; DIVERSITY;

D O I：

10.1016/j.sigpro.2011.06.005

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：

In this letter, we address the problem of waveform optimization for multi-input multi-output (MIMO) space-time adaptive processing (STAP) in the presence of colored Gaussian disturbance. A novel diagonal loading (DL) based method is proposed to optimize the waveform covariance matrix (WCM) for maximizing the output signal-interference-noise ratio (SINR) of MIMO-STAP such that the detection performance can be maximized. The resultant nonlinear optimization problem is reformulated as a semidefinite programming (SDP) one, which can be solved very efficiently. Simulation results show that the output SINR of MIMO-STAP can be improved considerably by the proposed method, as compared to that of uncorrelated waveforms. (C) 2011 Elsevier B.V. All rights reserved.

引用

页码：2690 / 2696

页数：7

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