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Robust STAP with coprime sampling structure based on optimal singular value thresholding

delete2025-01-02
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OA
AI
M
Mingxin Liu *
M
Mingfu Li
H
Hui Li
Y
Yan Cheng
DOI：10.1038/s41598-024-83857-8delete
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Abstract

Abstract

En 中文
In radar systems, element gain-phase errors can degrade the performance of space-time adaptive processing (STAP), and even cause complete failure. To address this issue, the STAP with the coprime sampling structure based on optimal singular value thresholding is proposed. The algorithm corrects errors by adding four calibrated auxiliary elements and auxiliary pulses to the original array and pulse sequence, while maintaining the coprime sampling structure. The corrected virtual clutter covariance matrix (CCM) is then expanded and filled with holes. Subsequently, the optimal singular value thresholding method is used to restore the CCM. Simulation results demonstrate that the proposed algorithm shows advantages in convergence speed, detection probability, and stability.
Keywords:
Space time adaptive processing
Coprime sampling structure
Gain-phase errors
Clutter covariance matrix
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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

Scientific Reports cover
Scientific Reports
IF:
3.9
Papers:
27.4W
Citations:
83.5W

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No organization information available