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 Xiukun Li,Yushuang Wu.Feature Extraction for Acoustic Scattering from a Buried Target[J].Journal of Marine Science and Application,2019,(3):380-386.[doi:10.1007/s11804-019-00102-9]
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Feature Extraction for Acoustic Scattering from a Buried Target


Feature Extraction for Acoustic Scattering from a Buried Target
Xiukun Li123 Yushuang Wu123
Xiukun Li123 Yushuang Wu123
1 Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China;
2 Ministry of Industry and Information Technology, Key Laboratory of Marine Information Acquisition and Security(Harbin Engineering University), Harbin 150001, China;
3 College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China
Buried target detectionAcoustic scatteringElastic scatteringDe-chirpingFeature extraction
Elastic acoustic scattering is important for buried target detection and identification. For elastic spherical objects, studies have shown that a series of narrowband energetic arrivals follow the first specular one. However, in practice, the elastic echo is rather weak because of the acoustic absorption, propagation loss, and reverberation, which makes it difficult to extract elastic scattering features, especially for buried targets. To remove the interference and enhance the elastic scattering, the de-chirping method was adopted here to address the target scattering echo when a linear frequency modulation (LFM) signal is transmitted. The parameters of the incident signal were known. With the de-chirping operation, a target echo was transformed into a cluster of narrowband signals, and the elastic components could be extracted with a band-pass filter and then recovered by remodulation. The simulation results indicate the feasibility of the elastic scattering extraction and recovery. The experimental result demonstrates that the interference was removed and the elastic scattering was visibly enhanced after de-chirping, which facilitates the subsequent resonance feature extraction for target classification and recognition.


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Received date:2018-03-14;Accepted date:2018-11-08。
Corresponding author:Xiukun Li,lixiukun@hrbeu.edu.cn
Last Update: 2019-09-18