Signatures Extraction of Ship Radiated Noise Based on Passive Sonar

Hong Ji Wang; Ri Jie Yang; Jian Hui Han

doi:10.4028/www.scientific.net/AMM.568-570.233

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 568-570Signatures Extraction of Ship Radiated Noise Based...

Signatures Extraction of Ship Radiated Noise Based on Passive Sonar

Abstract:

By combining likelihood estimation method and Kalman filtering tracking approach, feature extraction algorithm was developed in this paper to extract the harmonic feature from the underwater noise radiated by different kinds of ships. The ability of harmonic features extrication algorithm is demonstrated by simulation and real shallow water data set comprised of a number of ships. The processing results of real data set also show that he harmonics of different kinds of ships can be used to separate from each other.

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Periodical:

Applied Mechanics and Materials (Volumes 568-570)

Pages:

233-237

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.568-570.233

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Online since:

June 2014

Authors:

Hong Ji Wang*, Ri Jie Yang, Jian Hui Han

Keywords:

Fundamental Frequency Estimation, Kalman Filter, Likelihood Estimation

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* - Corresponding Author

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