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

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 origin...

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Bibliographic Details
Published in:IEEE communications letters Vol. 25; no. 9; pp. 3080 - 3084
Main Authors: Shi, Jingxi, Xie, Lei, Cheng, Ziyang, He, Zishu, Zhang, Wei
Format: Journal Article
Language:English
Published: New York IEEE 01.09.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Airborne radar
Algorithms
channel selection
Clutter
Computational complexity
Computational geometry
convex optimization
Convexity
Covariance matrices
Doppler effect
Eigenvalues and eigenfunctions
Iterative methods
Lower bounds
Manganese
Mathematical programming
Optimization
Optimized production technology
Space-time adaptive processing
space-time adaptive processing (STAP)
ISSN:1089-7798, 1558-2558
Online Access:Get full text
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Summary: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.
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ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2021.3084973