Title :
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
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;
Conference_Titel :
OCEANS, 2001. MTS/IEEE Conference and Exhibition
Conference_Location :
Honolulu, HI
Print_ISBN :
0-933957-28-9
DOI :
10.1109/OCEANS.2001.968088
