A pre-whiten method for active sonar in reverberation background

He Wang*, Jie Li, Kewei Huang, Xinyi Cheng, Sanku Niu

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Matched filter, the optimal receiver in white noise, is not always optimum in reverberation background. A pre-whiten filter to restrain the reverberation is proposed. On the premise of Gaussian color noise model of reverberation with local stationarity, a method using all-pole partition pre-whiten filters is proposed based on autoregressive(AR) model, which is adaptive. Priori knowledge of the noise and reverberation are not required. An algorithm called reverse partition pre-whiten is also brought forward versus the order partition pre-whiten algorithm. Simulation results are presented to show that the method is effective in enhancing the echo-to-reverberation ratio, and the performance of reverse partition pre-whiten algorithm is better than the order partition pre-whiten algorithm.

Original languageEnglish
Title of host publication2009 1st International Conference on Information Science and Engineering, ICISE 2009
Pages3733-3736
Number of pages4
DOIs
Publication statusPublished - 2009
Event1st International Conference on Information Science and Engineering, ICISE2009 - Nanjing, China
Duration: 26 Dec 200928 Dec 2009

Publication series

Name2009 1st International Conference on Information Science and Engineering, ICISE 2009

Conference

Conference1st International Conference on Information Science and Engineering, ICISE2009
Country/TerritoryChina
CityNanjing
Period26/12/0928/12/09

Keywords

  • AR model
  • Active sonar
  • Pre-whiten
  • Reverberation

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