Detecting outliers in the estimator bank-based direction finding techniques using the likelihood ratio quality assessment
Date
2007
Authors
Parvazi, Pouyan
Gershman, Alex B.
Abramovich, Yuri
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
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
Statement of Responsibility
Parvazi, P., Gershman, A.B. and Abramovich, Y.I.
Conference Name
IEEE International Conference on Acoustics, Speech and Signal Processing (2007 : Honolulu, Hawaii)
ICASSP 2007
ICASSP 2007
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.
School/Discipline
School of Electrical and Electronic Engineering
Dissertation Note
Provenance
Description
© Copyright 2007 IEEE