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

Author

Lin, S.-D. ; Barkat, Mourad

Author_Institution

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

fYear

1990

fDate

12-14 Aug 1990

Firstpage

311

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 (LLF) can be obtained. Otherwise, the global maximum is not guaranteed. Simulation results are presented and studied to demonstrate the performance of the proposed method

Keywords

dynamic programming; parameter estimation; signal detection; MLE; broad-band sources; broadband sources; direction-of-arrival; dynamic programming; global maximum; log-likelihood function; maximum likelihood estimator; sensor arrays; Algorithm design and analysis; Cascading style sheets; Direction of arrival estimation; Dynamic programming; Frequency domain analysis; Maximum likelihood estimation; Multiple signal classification; Sensor arrays; Signal processing; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1990., Proceedings of the 33rd Midwest Symposium on

Conference_Location

Calgary, Alta.

Print_ISBN

0-7803-0081-5

Type

conf

DOI

10.1109/MWSCAS.1990.140715

Filename

140715