JOINT DESIGN OF TRANSMIT BEAMFORMING AND STAP FILTER IN THE MODIFIED PHASED ARRAY BASED ON PRIOR INFORMATION

被引：0

作者：

Shi, Jingxi ^{[1
]}

Zhang, Wei ^{[1
]}

He, Zishu ^{[1
]}

Deng, Minglong ^{[1
]}

Lu, Xiaoying ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu, Sichuan, Peoples R China

来源：

2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022) | 2022年

关键词：

Airborne radar; STAP; Beamforming; Minorization-maximization; WAVE-FORM DESIGN; RADAR;

D O I：

10.1109/IGARSS46834.2022.9883860

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

This paper considers transmit beamforming and space-time adaptive processing (STAP) filter design in airborne radar for clutter suppression. We suppose that there are some strong clutters, which have a different distribution than the clutter in the cell under test (CUT) based on the database containing a geographical information system (GIS). Hence, we devise a novel algorithm for the joint design of transmit beamforming and STAP filter which aims to maximize the signal-to-clutter-plus-noise ratio (SCNR). To tackle the nonconvex problem, we convert the joint optimization problem into an equivalent beamforming optimization problem and find the optimal solution based on the minorization-maximization (MM) technique iteratively. Numerical simulations are provided to validate the proposed method and demonstrate its high performance.

引用

页码：2995 / 2998

页数：4

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