DocumentCode :
51811
Title :
Source Separation and Localization Using Time-Frequency Distributions: An Overview
Author :
Belouchrani, A. ; Amin, Moeness G. ; Thirion-moreau, Nadege ; Zhang, Yimin D.
Author_Institution :
Dept. of Electr. Eng., Ecole Nat. Polytech., Algeria
Volume :
30
Issue :
6
fYear :
2013
fDate :
Nov. 2013
Firstpage :
97
Lastpage :
107
Abstract :
In this article, we describe the role of time-frequency distributions (TFDs) in array processing. We particularly focus on quadratic TFDs (QTFDs). We demonstrate how these distributions can be properly integrated with the spatial dimension to enhance individual source signal recovery and angular estimation. The framework that enables such integration is referred to as spatial TFD (STFD). We present the important milestones of STFDs that have been reached during the last 15 years. Most importantly, we show that array processing creates new perspectives of QTFDs and defines new roles to the autoterms and cross-terms in both problem formulation and solution. Multisensor configurations, in essence, establish a different paradigm and introduces new challenges that did not exist in a single-sensor time-frequency distribution.
Keywords :
array signal processing; direction-of-arrival estimation; maximum likelihood estimation; sensor fusion; signal reconstruction; signal representation; source separation; time-frequency analysis; QTFD; STFD; angular estimation; array processing; autoterms; cross-terms; individual source signal recovery; multisensor configurations; quadratic TFD; single-sensor time-frequency distribution; source separation; spatial TFD; spatial dimension; time-frequency distributions; Covariance matrices; Direction-of-arrival estimation; Frequency modulation; Mobile radio mobility management; Source separation; Time-frequency analysis;
fLanguage :
English
Journal_Title :
Signal Processing Magazine, IEEE
Publisher :
ieee
ISSN :
1053-5888
Type :
jour
DOI :
10.1109/MSP.2013.2265315
Filename :
6633047
Link To Document :
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