Underwater wideband DOA estimation based on PMC method

Author

Chen Zhao ; Wang Hai-yan ; Liu Zheng-guo ; Shen Xiao-hong ; Hua Fei

Author_Institution

Coll. of Marine, Northwestern Polytech. Univ., Xi´an, China

fYear

2012

fDate

12-15 Aug. 2012

Firstpage

787

Lastpage

791

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.

Keywords

Bayes methods; Monte Carlo methods; acoustic signal processing; direction-of-arrival estimation; time-domain analysis; underwater acoustic communication; Bayesian calculation; PMC method; computer simulation; parallel processing; population Monte Carlo method; subspace class method; time-domain wideband signal model; underwater wideband DOA estimation method; Bayesian methods; Computational modeling; Direction of arrival estimation; Estimation; Sensors; Time domain analysis; Wideband; Bayesian high resolution; population Monte Carlo; time-domain wideband signal model; underwater radiation noise; wideband DOA estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, Communication and Computing (ICSPCC), 2012 IEEE International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4673-2192-1

Type

conf

DOI

10.1109/ICSPCC.2012.6335708

Filename

6335708