A solution for preprocessing to select discrete spectral features of propeller-equipped marine targets to enhance passive acoustic direction-finding accuracy
DOI:
https://doi.org/10.54939/1859-1043.j.mst.IITE.2025.139-147Keywords:
Underwater; Passive sonar; Direction of arrival (DOA); Marine target; Propeller.Abstract
The low-frequency discrete spectral components generated by the propeller system of marine targets play a crucial role in signal processing, particularly in the problem of underwater acoustic direction finding. The preprocessing step to select these spectral components helps enhance the signal-to-noise ratio (SNR) of the signal input to direction of arrival (DOA) algorithms. This paper proposes a novel solution to improve the selectivity and accumulation of low-frequency line spectral components, which are key features in the detection and parameter estimation of underwater targets. The proposed method combines several classical signal processing techniques, including low-frequency analysis and recording (LOFAR), detection of envelope modulation on noise (DEMON), and adaptive recursive comb filtering (AR-COMB). This combination enhances the input signal's SNR, providing improved quality for subsequent processing stages, especially DOA estimation. Simulation results demonstrate a significant improvement in the accuracy of the DOA algorithm, suggesting a new approach for detecting and characterizing this type of underwater target.
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