Blind MIMO FIR Channel Identification Based on Second-Order Statistics with Multiple Signals Recovery

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dc.contributor.authorLi, Yeen_US
dc.contributor.authorLiu, K.J. Rayen_US
dc.contributor.departmentISRen_US
dc.date.accessioned2007-05-23T10:01:16Z
dc.date.available2007-05-23T10:01:16Z
dc.date.issued1996en_US
dc.description.abstractTo separate and recover multiple signals in data communications, antenna arrays and acoustic sensor arrays, the impulse responses of multiple-input/multiple-output (MIMO) channels have to be identified explicitly or implicitly. This paper deals with the blind identification of MIMO FIR channels based on second-order statistics of the channel outputs. We first investigate the identifiability of MIMO FIR channels, and obtain a necessary and sufficient condition for MIMO FIR channels to be identifiable up to a unitary matrix using second-order statistics. Then, we extend the identification algorithms for single-input/multiple- output (SIMO) FIR channels, such as the algebraic algorithm and the subspace algorithm to the identification of MIMO FIR channels. We also present the application of the above blind identification algorithms to the separation of multiple signals in digital communication systems. Finally, we demonstrate the effectiveness of the algorithms presented in this paper by computer simulationsen_US
dc.format.extent816496 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/5737
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1996-7en_US
dc.subjectdigital communicationsen_US
dc.subjectestimationen_US
dc.subjectfilteringen_US
dc.subjectinformation theoryen_US
dc.subjectmulti-user systemsen_US
dc.subjectsignal processingen_US
dc.subjectSystems Integration Methodologyen_US
dc.titleBlind MIMO FIR Channel Identification Based on Second-Order Statistics with Multiple Signals Recoveryen_US
dc.typeTechnical Reporten_US

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