Maximum likelihood estimation of direction-of-arrival and detection for broad-band sources via dynamic programming

Author

Lin, Shen-de ; Barkat, Mourad

Author_Institution

Dept. of Electr. Eng., State Univ. of New York, Stony Brook, NY, USA

Volume

39

Issue

8

fYear

1991

fDate

8/1/1991 12:00:00 AM

Firstpage

1213

Lastpage

1221

Abstract

An analysis is presented to estimate the number of broadband sources by sensor arrays and to compute the maximum likelihood estimator (MLE) of their direction-of-arrival (DOA) based on the dynamic programming algorithm. The approach is devised in the frequency domain. With proper selection of the number of elements, the distance between elements, and the step size, the global maximum for the log-likelihood function can be obtained. Otherwise, the global maximum is not guaranteed. Simulation results for broadband sources that demonstrate the performance of the proposed method are presented and compared with that of the MUSIC algorithm which employs coherent signal-subspace processing

Keywords

dynamic programming; parameter estimation; signal detection; signal processing; DOA; MLE; MUSIC algorithm; array processing; broadband sources; coherent signal-subspace processing; direction of arrival estimation; dynamic programming; frequency domain; log-likelihood function; maximum likelihood estimator; sensor arrays; signal detection; Algorithm design and analysis; Direction of arrival estimation; Dynamic programming; Frequency domain analysis; Heuristic algorithms; Maximum likelihood detection; Maximum likelihood estimation; Multiple signal classification; Sensor arrays; Signal processing;

fLanguage

English

Journal_Title

Antennas and Propagation, IEEE Transactions on

Publisher

ieee

ISSN

0018-926X

Type

jour

DOI

10.1109/8.97357

Filename

97357