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Blind separation of mutually correlated sources using precoders
This paper studies the problem of blind source separation (BSS) from instantaneous mixtures with the assumption that the source signals are mutually correlated.We propose a novel approach to BSS by using precoders in transmitters.We show that if the precoders are properly designed, some cross-correlation coefficients of the coded signals can be forced to be zero at certain time lags. Then, the unique correlation properties of the coded signals can be exploited in receiver to achieve source separation. Based on the proposed precoders, a subspace-based algorithm is derived for the blind separation of mutually correlated sources. The effectiveness of the algorithm is illustrated by simulation examples.
History
Journal
IEEE transactions on neural networksVolume
21Issue
1Pagination
82 - 90Publisher
IEEELocation
New York, N.Y.Publisher DOI
ISSN
1045-9227eISSN
1941-0093Language
engPublication classification
C1 Refereed article in a scholarly journalCopyright notice
2009, IEEEUsage metrics
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No categories selectedKeywords
blind source separation (BSS)mutually correlated sourcesprecoderssecond-order statistics (SOS)Science & TechnologyTechnologyComputer Science, Artificial IntelligenceComputer Science, Hardware & ArchitectureComputer Science, Theory & MethodsEngineering, Electrical & ElectronicComputer ScienceEngineeringFIR-MIMO-CHANNELSEQUALIZATION
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