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A new adaptive blind channel identification algorithm
This paper addresses the blind identification of single-input multiple-output (SIMO) finite-impulse-response (FIR) systems. We first propose a new adaptive algorithm for the blind identification of SIMO FIR systems. Then, its convergence property is analyzed systematically. It is shown that under some mild conditions, the proposed algorithm is guaranteed to converge in the mean to the true channel impulse responses in both noisy and noiseless cases. Simulations are carried out to demonstrate the theoretical results.
History
Journal
Chaos, solitons and fractalsVolume
41Issue
1Pagination
354 - 359Publisher
PergamonLocation
Kidlington, EnglandPublisher DOI
ISSN
0960-0779eISSN
1873-2887Language
engPublication classification
C1 Refereed article in a scholarly journal; C Journal articleCopyright notice
2008, ElsevierUsage metrics
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No categories selectedKeywords
blind identificationfinite-impulse-response (FIR)single-input multiple-output (SIMO)Science & TechnologyPhysical SciencesMathematics, Interdisciplinary ApplicationsPhysics, MultidisciplinaryPhysics, MathematicalMathematicsPhysicsCONVERGENCE ANALYSISLEARNING ALGORITHMNEURAL-NETWORKSSTABILITYCONSTANTPCAMCA
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