Target feature extraction for passive sonar based on two cepstrums

Geming Liu, Chao Sun, Yixin Yang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008
PublisherIEEE Computer Society
Pages539-542
Number of pages4
ISBN (Print)9781424417483
DOIs
StatePublished - 2008
Event2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008 - Shanghai, China
Duration: 16 May 200818 May 2008

Publication series

Name2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008

Conference

Conference2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008
Country/TerritoryChina
CityShanghai
Period16/05/0818/05/08

Keywords

  • Feature extraction
  • LPC cepstrum
  • Mel cepstrum
  • Sonar operator
  • Target recognition

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