Joint Design Method of Transmit-Receive for Airborne MIMO Radar Based on Feasible Point Pursuit

被引：0

作者：

Huang, Jianchong ^{[1
]}

Li, Zhihui ^{[1
]}

Li, Xiaobo ^{[1
]}

Liu, Chunsheng ^{[1
]}

Niu, Chaoyang ^{[1
]}

Feng, Xiaoxing ^{[1
]}

Wang, Qiang ^{[2
]}

机构：

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

[2] Natl Univ Def Technol, Coll Informat & Commun, Wuhan, Peoples R China

来源：

MATHEMATICAL PROBLEMS IN ENGINEERING | 2022年 / 2022卷

基金：

中国国家自然科学基金;

关键词：

WAVE-FORM DESIGN; FILTER-SIGNAL DESIGN; OPTIMIZATION; STAP; TARGET; SUPPRESSION; CLUTTER;

D O I：

10.1155/2022/9717413

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Consider the moving target detection performance degradation of airborne multiple-input multiple-output (MIMO) radar in the presence of inaccurate target prior information. This paper proposes a joint design method of transmit waveform and receive filter bank of airborne MIMO radar based on feasible point pursuit successive convex approximation (FPP-SCA). Firstly, a set of receive filter banks is designed in the region where the target may appear on the angle-Doppler plane, and the worst-case output signal-to-clutter-plus-noise ratio (SCNR) is maximized as the optimization criterion. Secondly, considering the energy constraint and similarity on the transmit waveform, the maximin joint design problem is formulated to improve the robustness of the MIMO space-time adaptive processing (STAP) radar against the uncertainty of target parameters. Finally, an FPP-SCA algorithm is employed to solve the maximin nonconvex joint design problem. Simulation results demonstrate the effectiveness of the proposed method in terms of better output SCNR, lower computational load, and more robustness against the errors of target parameters.

引用

页数：11

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