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A high-order time-delay difference estimation method for signal enhancement in the distorted towed hydrophone array. | LitMetric

A high-order time-delay difference estimation method for signal enhancement in the distorted towed hydrophone array.

J Acoust Soc Am

Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing 210096, China.

Published: September 2024

AI Article Synopsis

  • Passive sonar systems can suffer from performance issues due to distortions in towed hydrophone arrays, which affect their ability to accurately process underwater acoustic signals.
  • This paper introduces a method that uses high-order time-delay difference estimation and time-frequency autofocus to improve signal quality, even in the presence of array distortions.
  • The proposed algorithm is validated through simulations and experimental results, proving to be more effective than existing techniques and does not require prior knowledge of the distortion patterns, making it adaptable for different configurations.

Article Abstract

In passive sonar systems, deviations from an ideal linear configuration can significantly impair the beamforming performance of towed hydrophone arrays. This paper presents a method aimed at improving the underwater acoustic signals in the presence of array distortion. The method is centered on a high-order time-delay difference estimation technique utilizing time-frequency autofocus. Initially, a detailed signal model is established that captures the distinctive characteristics of distorted arrays. Subsequently, an algorithm is introduced for high-order time-delay difference estimation to enhance signal fidelity by leveraging phase information within narrowband components originating from incidental acoustic sources. Additionally, a quality metric to evaluate these components is introduced, facilitating the practical implementation of the method. The effectiveness of the proposed approach is validated through both simulation and experimental results, demonstrating its superiority over existing techniques. Importantly, this method does not require prior knowledge of the distortion pattern, making it adaptable to various non-linear array configurations.

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Source
http://dx.doi.org/10.1121/10.0029021DOI Listing

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