A robust signal detector based on mode weighting

Chao Sun, Zong Wei Liu

科研成果: 期刊稿件会议文章同行评审

摘要

Conventional signal detectors widely used in underwater acoustics usually assume that the environmental parameters are deterministic, which is generally not the case in an actual ocean due to its random variations both in space and time. Compared to the signal fluctuations inducted by the varying environment, the normal mode depth functions which can be extracted from the receiving data demonstrate much higher stability, especially those at lower orders. According to this, a robust signal detector is proposed in this paper. Firstly, the optimal matched mode processing (MMP) detector was derived based on the Neyman-Pearson (NP) criterion. Then the weighted mode amplitude vector was given from the perturbed ocean environment using principal component analysis (PCA) method. Finally, the weighted mode amplitude vectors are matched with the one deduced from the received signal to get a robust MMP detector. Computer simulations show that the detector proposed here can detect the target in an uncertain ocean more efficiently and only the first several principle components are needed in the robust MMP detector.

源语言英语
文章编号070027
期刊Proceedings of Meetings on Acoustics
17
DOI
出版状态已出版 - 2012
活动11th European Conference on Underwater Acoustics, ECUA 2012 - Edinburgh, 英国
期限: 2 7月 20126 7月 2012

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