期刊
SIGNAL PROCESSING
卷 91, 期 11, 页码 2690-2696出版社
ELSEVIER
DOI: 10.1016/j.sigpro.2011.06.005
关键词
Multi-input multi-output (MIMO) radar; Waveform optimization; Space-time adaptive processing (STAP); Semidefinite programming (SDP)
资金
- NSFC [60825104]
- Program for Changjiang Scholars and Innovative Research Team in University [IRT0954]
- Major State Basic Research Development Program of China (973 Program) [2010CB731903, 2011CB707001]
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据