不确定浅海环境中基于水平阵稳健子空间估计的宽容检测方法

Translated title of the contribution: A Tolerant Detection Method for Estimating Robust Signal Subspace with Horizontal Arrays in Uncertain Shallow Ocean Environment

Xuan Wang, Chao Sun, Longfeng Xiang, Mingyang Li

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The environmental parameters are usually uncertain in complex shallow ocean environment and restrict the performance of the matching model-like method. Therefore, we need a more tolerant detection method for detecting underwater targets in the uncertain shallow ocean environment. The previous mode-subspace detection method has the characteristics of both high performance and robustness. However, the robust mode-subspace detector is suitable for vertical arrays and its performance is limited by shallow ocean environment. Therefore, we propose the tolerant detection method for estimating the robust signal subspace with horizontal arrays. We estimate the robust signal subspace by bringing uncertain parameters into the observation matrix of a horizontal array. Combined with the robust signal subspace estimation, we propose a subspace detector that tolerates uncertain parameters. The results on simulation in a uncertain shallow ocean environment show that the detector we proposed has a high average detection capability and a certain tolerance for uncertain parameters.

Translated title of the contributionA Tolerant Detection Method for Estimating Robust Signal Subspace with Horizontal Arrays in Uncertain Shallow Ocean Environment
Original languageChinese (Traditional)
Pages (from-to)1171-1178
Number of pages8
JournalXibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
Volume38
Issue number6
DOIs
StatePublished - Dec 2020

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