Underwater wideband DOA estimation based on PMC method

Zhao Chen, Hai Yan Wang, Zheng Guo Liu, Xiao Hong Shen, Fei Hua

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

Abstract

A new wideband DOA estimation method based on a time-domain wideband signal model is proposed, which uses population Monte Carlo (PMC) method for the Bayesian calculation. This method needs few snapshots and only requires real arithmetic compared to conventional subspace class method because of use of the time-domain signal model. The PMC method outperforms other MCMC methods due to its parallel processing ability which can reduce the time of the procedure. Computer simulation shows that this method gives a good performance of the DOA estimation.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012
Pages787-791
Number of pages5
DOIs
StatePublished - 2012
Event2012 2nd IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012 - Hong Kong, China
Duration: 12 Aug 201215 Aug 2012

Publication series

Name2012 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012

Conference

Conference2012 2nd IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012
Country/TerritoryChina
CityHong Kong
Period12/08/1215/08/12

Keywords

  • Bayesian high resolution
  • population Monte Carlo
  • time-domain wideband signal model
  • underwater radiation noise
  • wideband DOA estimation

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