A Novel Underwater Acoustic Target Identification Method Based on Spectral Characteristic Extraction via Modified Adaptive Chirp Mode Decomposition.

Zipeng Li, Kunde Yang, Xingyue Zhou, Shunli Duan

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Article in Entropy (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 authors.

Zipeng LiSchool of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China.

Kunde YangSchool of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China.

Xingyue ZhouSchool of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China.

Shunli DuanSchool of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China.

Funding

China Postdoctoral Science Foundation Grant 2021M692628National Natural Science Foundation of China 42076198National Natural Science Foundation of China for Youth 6210011631Science and Technology on Sonar Laboratory Foundation 6142109KF212205

6 · The paper itself

Abstract

As is well-known, ship-radiated noise (SN) signals, which contain a large number of ship operating characteristics and condition information, are widely used in ship recognition and classification. However, it is still a great challenge to extract weak operating characteristics from SN signals because of heavy noise and non-stationarity. Therefore, a new mono-component extraction method is proposed in this paper for taxonomic purposes. First, the non-local means algorithm (NLmeans) is proposed to denoise SN signals without destroying its time-frequency structure. Second, adaptive chirp mode decomposition (ACMD) is modified and applied on denoised signals to adaptively extract mono-component modes. Finally, sub-signals are selected based on spectral kurtosis (SK) and then analyzed for ship recognition and classification. A simulation experiment and two application cases are used to verify the effectiveness of the proposed method and the results show its outstanding performance.

Indexed as

adaptive chirp mode decompositionfeature extractionnon-local means denoisingship-radiated noise

Identifiers

PMID37190457

DOI10.3390/e25040669

PMCPMC10138060

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.