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A Fast DOA Estimation Method for Multi-Target with Small-Size Array in AUV

Published: 12 June 2024 Publication History

Abstract

As a new approach to underwater signal acquisition, small-size passive arrays deployed on autonomous underwater vehicles (AUVs) have some performance limitations for DOA estimation. On the one hand, there is the problem of real-time front-end processing; on the other hand, there is the problem of estimation accuracy. Especially when faced with a multi-target problem, too small an angle between the sources and too large an energy difference between the signals can make DOA estimation difficult. This article introduces an improved sparse DOA estimation method for practical multi-objective DOA estimation in complex scenarios of AUV platforms. The main work of this thesis is to introduce a new updating formula in the sparse iterative covariance process, and it will dramatically speed up sparse fitting and somewhat solve the aperture problem for small-size arrays. Compared to other sparse methods, the method completes the DOA estimation more quickly without prior information about the target. Finally, simulations have verified the method’s effectiveness.

References

[1]
Jiaheng Li, Feng Tong, Yuehai Zhou, Yi Yang, and Zhiqiang Hu. 2022. Small size array underwater acoustic doa estimation based on direction-dependent transmission response. IEEE Transactions on Vehicular Technology 71, 12 (2022), 12916–12927.
[2]
Lutao Liu, Yue Xiao, and Yanan Wu. 2022. An iterative LQ-norm based optimization algorithm for generalized SPICE. Digital Signal Processing 123 (2022), 103389.

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WUWNet '23: Proceedings of the 17th International Conference on Underwater Networks & Systems
November 2023
239 pages
ISBN:9798400716744
DOI:10.1145/3631726
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 June 2024

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WUWNet 2023

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