杂波条件下稳健的MIMO雷达发射波形和接收滤波器联合优化设计

doi:10.11999/JEIT161146

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Abstract

The existing joint design methods of transmit waveform and receive filter for MIMO radar do not take into account the non-linear characteristics of radio frequency amplifier and the imprecise information about the target in practical applications. For these problems, a robust joint design of transmit waveform and receive filter for MIMO radar in presence of clutter with the power constraint of each element and the Peak-to-Average-power Ratio (PAR) constraint of transmit waveform from each element is proposed. The novel scheme sets an optimization model of MIMO radar’s output Signal-to-Interference-plus-Noise Ratio (SINR) within the uncertainty of target’s steering vector via Max-Min method. As for the resulting non-convex joint optimization problem, Semi-Definite Relaxation (SDR), Charnes-Cooper transformation, sequential optimization, and Lagrange dual theorem are adopted to converse the non-convex original problem into two convex Semi-Definite Programming (SDP) sub-problems, which are concerned about the covariance matrix of transmit space-time code and receive space-time filter, respectively. The final transmit waveform and receive filter can be obtained by randomization method. The efficiency and robustness of the proposed algorithm are verified by the simulation results.

Key words： MIMO radar Waveform design Robustness Semi-Definite Relaxation (SPR)

Received: 26 October 2016 Published: 25 April 2017

PACS:

TN958

Fund:

The National Natural Science Foundation of China (61302153)

Corresponding Authors: WANG Yuxi E-mail: WYX10013@163.com

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	WANG Yuxi
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	LI Wei
	LIU Jian

Cite this article:

WANG Yuxi,HUANG Guoce,LI Wei等. Robust Joint Design of Transmit Waveform and Receive Filter for MIMO Radar in Presence of Clutter[J]. JEIT, 2017, 39(8): 1879-1886.

URL:

http://jeit.ie.ac.cn/EN/10.11999/JEIT161146 OR http://jeit.ie.ac.cn/EN/Y2017/V39/I8/1879

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