Blind Adaptive Equalization of SIMO Channels Based on Second- Order Statistics

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dc.contributor.authorLi, Yeen_US
dc.contributor.authorLiu, K.J. Rayen_US
dc.contributor.departmentISRen_US
dc.date.accessioned2007-05-23T10:01:21Z
dc.date.available2007-05-23T10:01:21Z
dc.date.issued1996en_US
dc.description.abstractThis article investigates blind adaptive equalization for single- input/multiple-output (SIMO) channels. A second-order statistics based algorithm (SOSA) and a modified second-order statistics based algorithm (MSOSA) for equalization of SIMO channels are presented. Computer simulation demonstrates that the new algorithms converge faster than fractionally spaced constant- modulus algorithm (FS-CMA). The proposed algorithms can be applied in wireless communication systems with antenna arrays to combat the multipath fading.en_US
dc.format.extent248923 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/5742
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1996-12en_US
dc.subjectdigital communicationen_US
dc.subjectestimationen_US
dc.subjectfilteringen_US
dc.subjectmulti-user systemsen_US
dc.subjectsignal processingen_US
dc.subjectSystems Integration Methodologyen_US
dc.titleBlind Adaptive Equalization of SIMO Channels Based on Second- Order Statisticsen_US
dc.typeTechnical Reporten_US

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