Target feature extraction for passive sonar based on two cepstrums

Geming Liu, Chao Sun, Yixin Yang

科研成果: 书/报告/会议事项章节会议稿件同行评审

10 引用 (Scopus)

摘要

A passive sonar target can be regarded as a sounder from the viewpoint of sonar operators. The impulse response of the sounder in the cepstrum domain, which shows physical features of targets, can be obtained from the radiated-noise of targets using LPC cepstrum and Mel cepstrum. A set of cepstrum-domain features is extracted based on the above two cepstrums of the impulse response. The neural network target classifier was designed using cepstrum-domain features. The classification experiments were carried out for three different kinds of targets based on practical data. The experimental results show that the feature extraction method based on two cepstrums are useful.

源语言英语
主期刊名2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008
出版商IEEE Computer Society
539-542
页数4
ISBN(印刷版)9781424417483
DOI
出版状态已出版 - 2008
活动2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008 - Shanghai, 中国
期限: 16 5月 200818 5月 2008

出版系列

姓名2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008

会议

会议2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008
国家/地区中国
Shanghai
时期16/05/0818/05/08

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