Joint design of transmit beamforming and receive filter for transmit subaperturing MIMO STAP radar

被引：3

作者：

Li, Zhihui ^{[1
]}

Mao, Yunxiang ^{[1
]}

Zhou, Qingsong ^{[1
]}

Shi, Junpeng ^{[1
]}

Li, Binbin ^{[2
]}

机构：

[1] Natl Univ Def Technol, Hefei 230037, Peoples R China

[2] Air Force Early Warning Acad, Wuhan 430019, Peoples R China

来源：

MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING | 2022年 / 33卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Transmit subaperturing (TS); Multiple-input multiple-output (MIMO) radar; Airborne radar; Transmit and receive beamforming; Signal-to-interference-plus-noise ratio (SINR); Iterative optimization; WAVE-FORM DESIGN; SIGNAL DESIGN; CODE DESIGN; OPTIMIZATION; CLUTTER; PAPR;

D O I：

10.1007/s11045-021-00790-z

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper deals with the joint design of transmit and receive beamforming for airborne transmit subaperturing (TS) multiple-input multiple-output (MIMO) radar to improve the moving target detection performance in the presence of signal-dependent clutter background. The considered system is referred to as an airborne TS-MIMO radar, whose transmit array is divided into several subarrays to form the steerable waveforms with directional gain. The joint design of transmit and receive beamforming problem is formulated by maximizing the signal-to-interference-plus-noise ratio under the energy constraint. To resolve the resulting non-convex joint design problem, we devise an efficient iterative optimization algorithm within the majorization-minimization framework. To obtain the desired transmit beampattern property, we extend the iterative optimization algorithm to resolve the energy and similarity constrained transmit beamforming design. Simulation results demonstrate that the proposed two methods are monotonically increasing and convergent, and exhibit superior property to the compared methods.

引用

页码：143 / 165

页数：23