Target Feature Eztraction for Passive Sonar Based on Two Cepstrums

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.

关键词： sonar operator target recognition LPC cepstrum Mel cepstrum feature eztraction

作者: Geming Liu Chao Sun Yixin Yang

作者单位: Engineering Acoustics Institute Northwestern Polytechnical University Xian, China

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 539-542

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）