Title :
Threshold region performance of deterministic maximum likelihood DOA estimation of multiple sources
Author_Institution :
Dept. of Signals & Syst., Chalmers Univ. of Technol., Goteborg, Sweden
Abstract :
This paper presents an analysis of the threshold region performance of deterministic maximum likelihood direction of arrival estimation using sensor arrays. The threshold effect is caused by outliers and thus is not captured by standard analysis tools such as the Cramer-Rao bound and Taylor expansions, since these are local in nature. The work presented provides a global analysis that can be used to predict the threshold region performance of the maximum likelihood estimator with high accuracy. It extends previous results from the author on the single source to the multiple sources case.
Keywords :
Gaussian noise; Monte Carlo methods; array signal processing; direction-of-arrival estimation; maximum likelihood estimation; mean square error methods; probability; white noise; Cramer-Rao bound; MSE approximation; Monte Carlo simulations; Taylor expansions; analysis tools; deterministic maximum likelihood DOA estimation; direction of arrival estimation; global analysis; maximum likelihood estimator; multiple sources; outlier probability; sensor arrays; threshold region performance; white Gaussian noise; Direction of arrival estimation; Estimation error; Maximum likelihood estimation; Performance analysis; Predictive models; Sensor arrays; Sensor phenomena and characterization; Sensor systems; Signal analysis; Signal to noise ratio;
Conference_Titel :
Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-7576-9
DOI :
10.1109/ACSSC.2002.1196987
