A Novel ICA-based DOA Estimation Method for Underwater Wideband Source

doi:10.3969/j.issn.1000-1093.2017.01.015

Abstract

Abstract: The estimation of high-resolution and high-accurate direction-of-arrive (DOA) of underwater wideband acoustic sources in the cases of limited array aperture and lack of target feature information is studied. Considering the independent statistical characteristics of underwater bandwidth acoustic sources, a state coherence transform (SCT) method based on independent component analysis (ICA) is utilized to obtain DOA estimation. For the Gaussian distribution characteristics of additive noise, the wavelet denoising pre-processing is used to reduce the Gaussian components in the mixed signals. A spatial resampling method is proposed to fix the performance degradation of SCT in low-frequency range. In the computer simulation and sea trial, the proposed algorithm has the advantages of higher resolution, fewer sensors, less dependence on the priori knowledge and better low-frequency performance compared with other traditional algorithms. The signal processing results confirm the feasibility and performance superiority of the proposed algorithm.Key

Key words: informationprocessingtechnology, widebandsignal, waveletdenoising, spatialresampling, cFastICA, DOAestimation

CLC Number:

TN929.3

LI Zi-gao, LI Shu-qiu, WEN Shu-lin. A Novel ICA-based DOA Estimation Method for Underwater Wideband Source[J]. Acta Armamentarii, 2017, 38(1): 114-122.

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第38卷
第1期2017 年1月兵工学报ACTA
ARMAMENTARIIVol.38No.1Jan.2017

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