DocumentCode
2028791
Title
Maximum likelihood estimation for array processing in colored noise
Author
Nagesha, Venkatesh ; Kay, Steven
Author_Institution
Dept. of Electr. Eng., Rhode Island Univ., Kingston, RI, USA
Volume
4
fYear
1993
fDate
27-30 April 1993
Firstpage
240
Abstract
The problem of direction of arrival estimation of multiple sources in noise with unknown covariance is considered. The noise is modeled as a spatial autoregressive process with unknown parameters. An approximate maximum likelihood estimator (MLE) of the signal and noise parameters is derived. It requires numerical maximization of a compressed likelihood function over the unknown arrival angles. Analytical expressions for the MLEs of the signal covariance and the autoregressive (AR) parameters are given.<>
Keywords
array signal processing; maximum likelihood estimation; noise; parameter estimation; DOA estimation; array processing; colored noise; compressed likelihood function; direction of arrival estimation; maximum likelihood estimator; multiple sources; signal covariance; spatial autoregressive process;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location
Minneapolis, MN, USA
ISSN
1520-6149
Print_ISBN
0-7803-7402-9
Type
conf
DOI
10.1109/ICASSP.1993.319639
Filename
319639
Link To Document