Semantic Scholar Open Access 2025

Evaluation of the Covertness of Sound Signals Mimicking Those of Marine Mammals

Shuai Jiang Jingjing Wang Qiuna Niu Wei Shi

Abstrak

To address the requirements for bionic covert underwater acoustic communication, this study introduces an evaluative methodology for assessing the concealment of sound signals that mimic those produced by marine mammals. Within the realm of bionic communication, the degree of covert effectiveness is predicated on the similarity between the synthetic sounds, which are embedded with information, and the natural sounds emitted by marine mammals. Higher fidelity in replicating authentic marine mammal acoustics correlates with enhanced stealth capabilities of the synthetic signals. Given the stringent requirements for information concealment in bionic covert underwater acoustic communication, it is imperative to assess the bionic stealth or the biomimetic efficacy of synthetic marine mammal sounds. This research aims to devise and implement an evaluative framework for the stealth of bionic signals, leveraging advanced methodologies such as feature engineering and audio fingerprinting, applied to bionic signal data derived from an array of marine mammals. The proposed evaluation framework within this article quantifies the covert effectiveness of bionic signals corresponding to the acoustics of various marine species, thereby providing a comprehensive measure of biomimetic fidelity and stealth performance. The outcomes of the evaluation elucidate the degree of resemblance between the synthetic bionic signals and the authentic sounds produced by marine mammals. A higher score indicates a minimal discrepancy between the synthetic and original marine mammal sounds, thereby denoting superior biomimetic accuracy and enhanced stealth of the bionic signals.

Penulis (4)

S

Shuai Jiang

J

Jingjing Wang

Q

Qiuna Niu

W

Wei Shi

Format Sitasi

Jiang, S., Wang, J., Niu, Q., Shi, W. (2025). Evaluation of the Covertness of Sound Signals Mimicking Those of Marine Mammals. https://doi.org/10.1109/JOE.2024.3508036

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Informasi Jurnal
Tahun Terbit
2025
Bahasa
en
Sumber Database
Semantic Scholar
DOI
10.1109/JOE.2024.3508036
Akses
Open Access ✓