Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/44887
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Type: Conference paper
Title: Detecting outliers in the estimator bank-based direction finding techniques using the likelihood ratio quality assessment
Author: Parvazi, Pouyan
Gershman, Alex B.
Abramovich, Yuri
Citation: IEEE International Conference on Acoustics, Speech and Signal Processing. Acoustics, Speech and Signal Processing. ICASSP 2007, 15-20 April, 2007: Vol. 2, pp. II-1065-II-1068
Publisher: IEEE
Issue Date: 2007
ISBN: 1424407281
Conference Name: IEEE International Conference on Acoustics, Speech and Signal Processing (2007 : Honolulu, Hawaii)
ICASSP 2007
School/Discipline: School of Electrical and Electronic Engineering
Statement of
Responsibility: 
Parvazi, P., Gershman, A.B. and Abramovich, Y.I.
Abstract: Estimator bank-based direction finding techniques make use of a number of parallel randomly weighted MUSIC direction-of-arrival (DOA) estimates and obtain the final estimate by keeping only the "successful" candidates while sorting out the outlying estimates. In this paper, we develop a powerful approach to detect the outliers in the estimator bank-based direction finders using the likelihood ratio quality assessment. Computer simulations show substantial improvements of the proposed approach as compared to the earlier techniques used to sort out the outliers in the estimator bank-based direction finding methods.
Description: © Copyright 2007 IEEE
RMID: 0020076108
DOI: 10.1109/ICASSP.2007.366423
Appears in Collections:Electrical and Electronic Engineering publications

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