A High-Efficiency Optimized Detection Algorithm for Non-Stationary Marine Acoustic Signals in the Time-Frequency Domain
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 marin...
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| Veröffentlicht in: | IEEE access 2022, Vol.10, p.64085-64094 |
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| creator | Cao, Tianyu Bian, Mengqi Yang, Yichen Xu, Zhongwei Zhao, Xiaoqun |
| description | 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. |
| doi_str_mv | 10.1109/ACCESS.2022.3182701 |
| format | Article |
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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. 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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.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2022.3182701</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-3188-8818</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Acoustics Algorithms Background noise Classification algorithms Data acquisition Data compression Data processing Energy consumption Experiments Frequency domain analysis Marine technology Memory Non-stationary marine acoustic signal self-feedback Signal processing Signal processing algorithms signal processing efficiency Simulation Time-frequency analysis time-frequency data compression |
| title | A High-Efficiency Optimized Detection Algorithm for Non-Stationary Marine Acoustic Signals in the Time-Frequency Domain |
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