Enhanced Underwater Single Vector-Acoustic DOA Estimation via Linear Matched Stochastic Resonance Preprocessing

Enhanced Underwater Single Vector-Acoustic DOA Estimation via Linear Matched Stochastic Resonance Preprocessing

Underwater acoustic vector sensors (UAVSs) are increasingly utilized for remote passive sonar detection, but the accuracy of direction-of-arrival (DOA) estimation remains a challenging problem, particularly under low signal-to-noise ratio (SNR) conditions and complex background noise. In this paper,...

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Bibliographic Details
Main Authors: Haitao Dong, Jian Suo, Zhigang Zhu, Haiyan Wang, Hongbing Ji
Format: Article
Language:English
Published: MDPI AG 2024-05-01
Series:Remote Sensing
Subjects:
underwater acoustic vector sensor (UAVS)
direction-of-arrival (DOA) estimation
matched stochastic resonance (MSR)
vector acoustic preprocessing
low signal-to-noise ratio (SNR)
Online Access:https://www.mdpi.com/2072-4292/16/10/1802

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https://www.mdpi.com/2072-4292/16/10/1802

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