A Maximum Likelihood Estimation Method for Underwater Radiated Noise Power
Source abstract
Abstract
Underwater radiated noise power estimation is crucial for the quantitative assessment of noise levels emitted by ships and underwater vehicles. This paper therefore proposes a maximum likelihood estimation method for determining the power of underwater radiated noise. The method establishes the probability density function of the hydrophones array received data and derives the minimum variance unbiased estimation of the power through theoretical analysis under the maximum likelihood criterion. Numerical simulations and experimental data demonstrate that this method can significantly reduce the influence of ambient noise on estimation results and improve the estimation accuracy under low signal-to-noise ratio conditions, outperforming commonly used beamforming-based estimation methods. In addition, the estimation variance achieves the Cramér–Rao lower bound, which is consistent with theoretical derivation. When the source position is unknown, this method can simultaneously localize the sound source and estimate its power by searching for the maximum value within a specified region.
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Research context
OpenAlex topics: Marine animal studies overview · Underwater Acoustics Research · Underwater Vehicles and Communication Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Hangzhou Applied Acoustics Research Institute, Hangzhou 310023, China
Science and Technology on Sonar Laboratory, Hangzhou 310023, China
School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
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