Passive Sonar Particle Filter Tracking Method Based on Target Spectrum Features
Abstract
Passive sonar tracking is the process of obtaining the target's bearing and motion state. For the problem of multi-target tracking in passive sonar, this paper investigates and proposes a particle filtering tracking method based on target spectrum features. This method extracts continuous spectrum structural feature vectors for each target, constructs similarity measurements matching their spectral features, and evaluates particle likelihood functions based on measurement values. Compared to the conventional particle filter method that uses target energy information as measurement input, this method significantly enhances target tracking performance in multi-target crossing scenarios. Simulation experiments and sea trial data confirmed the effectiveness of this approach.
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Index Terms
- Passive Sonar Particle Filter Tracking Method Based on Target Spectrum Features
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Published In
November 2023
237 pages
ISBN:9798400709272
DOI:10.1145/3638682
Copyright © 2023 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 22 May 2024
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VSIP 2023
VSIP 2023: 2023 the 5th International Conference on Video, Signal and Image Processing
November 24 - 26, 2023
Harbin, China
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