A High-Efficiency Optimized Detection Algorithm for Non-Stationary Marine Acoustic Signals in the Time-Frequency Domain

Tianyu Cao; Mengqi Bian; Yichen Yang; Zhongwei Xu; Xiaoqun Zhao

doi:10.1109/ACCESS.2022.3182701

IEEE Access (Jan 2022)

A High-Efficiency Optimized Detection Algorithm for Non-Stationary Marine Acoustic Signals in the Time-Frequency Domain

Tianyu Cao,
Mengqi Bian,
Yichen Yang,
Zhongwei Xu,
Xiaoqun Zhao

Affiliations

Tianyu Cao: Department of Information and Communication Engineering, College of Electronic and Information Engineering, Tongji University, Shanghai, Jiading, China
Mengqi Bian: Department of Information and Communication Engineering, College of Electronic and Information Engineering, Tongji University, Shanghai, Jiading, China
Yichen Yang: Department of Information and Communication Engineering, College of Electronic and Information Engineering, Tongji University, Shanghai, Jiading, China
Zhongwei Xu: Department of Information and Communication Engineering, College of Electronic and Information Engineering, Tongji University, Shanghai, Jiading, China
Xiaoqun Zhao: ORCiD; Department of Information and Communication Engineering, College of Electronic and Information Engineering, Tongji University, Shanghai, Jiading, China

DOI: https://doi.org/10.1109/ACCESS.2022.3182701
Journal volume & issue: Vol. 10
pp. 64085 – 64094

Abstract

Read online

As the amount of data generated by marine acoustic observation signals grows, efficient information acquisition of non-stationary observation signals has become a major challenge in marine observation platform technology. In this paper, an optimized algorithm is proposed for the non-stationary marine acoustic signals. This algorithm can increase the effective data acquisition rate while decreasing the observation platform’s algorithm energy consumption. To constantly enhance the processing of the observation signal through the self-feedback, the optimized algorithm is based on the sign function, the adjustable coefficient, the adaptive step size, and the frequency domain threshold. The simulation verification experiment and the application experiment based on the optimized algorithm are shown in this study. The experimental results indicate that the optimized algorithm efficiency is 78.16% in the simulation conditions and reaches 89.89% in the application experiment. And the data compression rates for the simulation conditions and the application experiment are 74.65% and 69.32%, respectively. As a result, the optimized algorithm’s performance has significantly improved.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

About the journal

Abstract

Keywords