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Angle-Doppler Channel Selection Method for Reduced-Dimension STAP Based on Sequential Convex Programming

delete2021-09-01
delete14
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OA
AI
J
Jingxi Shi
谢磊 cover
谢磊 (Lei Xie) *
程
程子扬 (Ziyang Cheng)
Z
Zishu He
W
Wei Zhang
DOI：10.1109/LCOMM.2021.3084973delete
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Abstract

Abstract

En 中文
This letter considers the dimension reduction for the space-time adaptive processing (STAP). An angle-Doppler channel selection strategy to maximize the lower bound of the output signal-to-clutter-plus-noise ratio (SCNR) is proposed. To tackle the resultant nonconvex problem, we formulate the original optimization function as a quasi-convex form based on the majorization-minimization (MM) algorithm and solve it in an iterative framework. Numerical simulations are provided to validate the proposed method and demonstrate its high performance, especially when the number of samples are limited.
Keywords:
Clutter
Optimized production technology
Covariance matrices
Doppler effect
Computational complexity
Manganese
Eigenvalues and eigenfunctions
Airborne radar
space-time adaptive processing (STAP)
channel selection
convex optimization
AI Summary

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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Communications Letters cover
IEEE Communications Letters
IF:
4.4
Papers:
1.3W
Citations:
2.2W

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