Title of article :
Blind Identification of MIMO FIR Systems Driven by Quasistationary Sources Using Second-Order Statistics: A
Frequency Domain Approach
Author/Authors :
K. Rahbar، نويسنده , , J. P. Reilly، نويسنده , , and J. H. Manton، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2004
Abstract :
This paper discusses a frequency domain method
for blind identification of multiple-input multiple-output (MIMO)
convolutive channels driven by white quasistationary 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, nonstationary
signals. We demonstrate that by using the second-order
statistics of the channel outputs, under mild conditions on the
nonstationarity of sources, and under the condition that channel is
column-wise coprime, the impulse response of the MIMO channel
can be identified 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 efficient, two-step frequency domain algorithm
for identifying the channel. Numerical simulations are presented
to demonstrate the performance of the new algorithm
Keywords :
nonstationarity. , Blind identification , blind signal separation , MIMO Systems
Journal title :
IEEE TRANSACTIONS ON SIGNAL PROCESSING
Journal title :
IEEE TRANSACTIONS ON SIGNAL PROCESSING