Title
Adaptive blind joint source-phase separation in digital communications
Abstract
The authors present a set of adaptive algorithms for the blind separation of independent sources (BSS). Source separation consists of recovering a set of independent signals from some linear instant mixtures of them, the coefficients of the mixing matrix being unknown. The relative (or natural) gradient has been widely used in these problems. We propose to replace it by the median gradient. We extend the concept to the complex case to cope with digitally modulated signals. It results in a new family of methods with better performance and phase recovering properties. Examples include separation of instant mixtures of different communication signals to illustrate the solutions proposed. As a new result we apply the proposed algorithms to asynchronous CDMA
Year
DOI
Venue
2001
10.1109/ICC.2001.937374
Communications, 2001. ICC 2001. IEEE International Conference
Keywords
Field
DocType
Gaussian noise,adaptive signal processing,array signal processing,code division multiple access,digital radio,gradient methods,multiuser channels,quadrature amplitude modulation,radio receivers,16-QAM,24-QAM,GMSK,adaptive algorithms,adaptive blind joint source-phase separation,adaptive receiver,asynchronous CDMA wireless networks,blind separation,communication signals,digital communications,digitally modulated signals,independent sources,linear instant signal mixtures,median gradient,mixing matrix coefficients,phase recovery,random Gaussian noise,sensor array
Signal processing,Quadrature amplitude modulation,Computer science,Minimum-shift keying,Algorithm,Real-time computing,Speech recognition,Adaptive filter,Adaptive algorithm,Gaussian noise,Blind signal separation,Source separation
Conference
Volume
ISBN
Citations 
3
0-7803-7097-1
2
PageRank 
References 
Authors
0.36
0
8