Enhanced multistatic active sonar signal processing

Kexin Zhao, Junli Liang, Johan Karlsson, Jian Li

科研成果: 期刊稿件文章同行评审

22 引用 (Scopus)

摘要

Multistatic active sonar systems involve the transmission and reception of multiple probing sequences and can achieve significantly enhanced performance of target detection and localization through exploiting spatial diversity. This paper mainly focuses on two signal processing aspects of such systems, namely, enhanced range-Doppler imaging and improved target parameter estimation. The main contributions of this paper are (1) a hybrid dense-sparse method is proposed to generate range-Doppler images with both low sidelobe levels and high accuracy; (2) a generalized K-Means clustering (GKC) method for target association is developed to associate the range measurements from different transmitter-receiver pairs, which is actually a range fitting procedure; (3) the extended invariance principle-based weighted least-squares method is developed for accurate target position and velocity estimation. The effectiveness of the proposed multistatic active sonar signal processing techniques is verified using numerical examples.

源语言英语
页(从-至)300-311
页数12
期刊Journal of the Acoustical Society of America
134
1
DOI
出版状态已出版 - 7月 2013
已对外发布

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