A novel Bayesian high-resolution direction-of-arrival estimator

Author

Huang, Jianguo ; Xu, Pu ; Lu, Ying ; Sun, Yi

Author_Institution

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

Volume

3

fYear

2001

fDate

2001

Firstpage

1697

Abstract

A novel Bayesian high-resolution direction-of-arrival (DOA) estimator is proposed based on the maximum a posteriori principle. The statistical performance of the Bayesian high-resolution DOA estimator is also investigated. Comparison with MUSIC and maximum likelihood estimator (MLE) shows that the Bayesian estimator has the highest resolution and more accurate estimation for either incoherent or coherent sources. It is also more robust in the case of low SNR

Keywords

Bayes methods; Gaussian noise; array signal processing; direction-of-arrival estimation; maximum likelihood estimation; signal classification; signal resolution; statistical analysis; white noise; Bayesian high-resolution DOA estimator; MLE; MUSIC; coherent sources; direction-of-arrival estimator; incoherent sources; low SNR; maximum a posteriori principle; maximum likelihood estimator; statistical performance; white Gaussian noise; Bayesian methods; Direction of arrival estimation; Frequency estimation; Gaussian noise; Maximum likelihood estimation; Multiple signal classification; Noise level; Phase noise; Sensor arrays; Signal resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

OCEANS, 2001. MTS/IEEE Conference and Exhibition

Conference_Location

Honolulu, HI

Print_ISBN

0-933957-28-9

Type

conf

DOI

10.1109/OCEANS.2001.968088

Filename

968088