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DOA Estimation of Underwater Acoustic Signals Using Non-uniform Linear Arrays

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Industrial Networks and Intelligent Systems (INISCOM 2018)

Abstract

This paper proposes to use the multiple signal classification (MUSIC) algorithm applied to non-uniform linear array (NLA) to estimate the direction of arrival (DOA) for passive sonar systems. The performance of the DOA estimation obtained by the MUSIC algorithm is investigated by applying different configurations of the antenna array parameters. For the purpose of comparison, uniform linear arrays (ULAs) are also considered. With same number of elements and antenna parameter configuration, the simulation results show, that the NLA significantly provides a better performance in terms of DOA estimation than that obtained by the ULA. In addition, the accuracy and resolution of the DOA, as well as the number of detectable signal sources can be increased, if we enlarge the antenna spacing as well as the number of the antenna elements.

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Acknowledgment

This work has been partially supported by the project of Faculty of Communication and Radar, Naval Academy, Nha Trang City, Khanh Hoa Province, Vietnam.

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Correspondence to Sang Van Doan .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Van Doan, S., Tran, T.C., Nguyen, V.D. (2019). DOA Estimation of Underwater Acoustic Signals Using Non-uniform Linear Arrays. In: Duong, T., Vo, NS. (eds) Industrial Networks and Intelligent Systems. INISCOM 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 257. Springer, Cham. https://doi.org/10.1007/978-3-030-05873-9_9

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  • DOI: https://doi.org/10.1007/978-3-030-05873-9_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05872-2

  • Online ISBN: 978-3-030-05873-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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