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Author Rahbar, Kamran ♦ Reilly, James P. ♦ Mantony, Jonathan H.
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Frequency Domain Approach ♦ Mimo Fir System Driven ♦ Restrictive Assumption ♦ Inherent Scaling ♦ Stated Assumption ♦ Post Processing ♦ Step Frequency Domain Algorithm ♦ Frequency Domain Method ♦ Column-wise Coprime ♦ Arbitrary Probability Distribution ♦ New Algorithm1 ♦ Mimo Channel ♦ Blind Identication ♦ Impulse Response ♦ Second Order Statistic ♦ White Quasi-stationary Source ♦ Inherent Frequency ♦ Uniform Permutation ♦ Non-stationary Signal ♦ Mimo Convolutive Channel ♦ Numerical Simulation ♦ Permutation Ambiguity ♦ New Algorithm ♦ Previous Frequency Domain Algorithm ♦ Mild Condition
Abstract This paper discusses a frequency domain method for blind identication of MIMO convolutive channels driven by white quasi-stationary sources. The sources can assume arbitrary probability distributions and in some cases they can even be all Gaussian distributed. We also show that under slightly more restrictive assumptions the algorithm can be applied to the case when the sources are colored, non-stationary signals. We demonstrate that by using the second order statistics of the channel outputs, under mild conditions on the non-stationarity of sources, and under the condition that channel is column-wise coprime, the impulse response of the MIMO channel can be identied up to an inherent scaling and permutation ambiguity. We prove that by using the new algorithm, under the stated assumptions, a uniform permutation across all frequency bins is guaranteed, and the inherent frequency dependent scaling ambiguities can be resolved. Hence no post processing is required as is the case with previous frequency domain algorithms. We further present an ecient, two step frequency domain algorithm for identifying the channel. Numerical simulations are presented to demonstrate the performance of the new algorithm1. I.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article