Elastic Characteristic Extraction Method of Underwater Target Based on Adaptive Filtering

TN912.3; In this paper,a kind of elastic characteristic extraction method of underwater targets based on adaptive filtering is introduced.The kernel of the method is the recursive least square (RLS) algorithm.Firstly,the geometric scattering signal is fit by using the echo signal and the incident si...

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Veröffentlicht in:电子科技学刊 Jg. 10; H. 2; S. 149 - 152
Hauptverfasser: Zhen-Shan Wang, Yun-Fei Chen, Gui-Juan Li, Ji-Hui Wang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Key Laboratory for Underwafer Test & Control Technology,Dalian 116013,China%Department of Ship Engineering,Dalian University of Technology,and also with Key Laboratory for Underwater Test & Control Technology,Dalian 116013,China 2012
Schlagworte:
Adaptive filtering
elastic scattering signal
geometric scattering signal
elastic characteristic
ISSN:1674-862X
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Zusammenfassung:TN912.3; In this paper,a kind of elastic characteristic extraction method of underwater targets based on adaptive filtering is introduced.The kernel of the method is the recursive least square (RLS) algorithm.Firstly,the geometric scattering signal is fit by using the echo signal and the incident signal.Then,the frequency spectrum of the echo signal and the geometric scattering signal are calculated.At last,the frequency spectrum of the elastic scattering signal is obtained.The research of the simulation and lake experiment is carried on.As the results show,the formants of the elastic signal frequency spectrum can be precisely extracted by the algorithm,and the extraction algorithm can apply to extracting the elastic characteristic from the echo signal in a real underwater acoustics environment.
ISSN:1674-862X
DOI:10.3969/j.issn.1674-862X.2012.02.010