Title :
Prefilter design for low-complexity equalization of MIMO systems
Author :
Ramésh, R. ; Hui, Dennis ; Hafeez, A.-R. ; Arslan, Huseyin
Author_Institution :
Ericsson Res., Research Triangle Park, NC, USA
Abstract :
We focus on the problem of reduced complexity equalization of multi-input, multi-output (MIMO) systems. In particular, we look at a prefilter design that enables the use of methods such as decision feedback sequence estimation (DFSE) while minimizing the effects of error propagation. We show that a well-known spectral factorization approach can be used to obtain a minimum-phase MIMO prefilter that performs energy compaction well, and thus provides a suitable prefilter. Through simulations on a MIMO system, we compare the performance of the minimum-phase MIMO prefilter with other prefilter approaches that have been published in literature, such as the minimum-mean-square (MMSE) and channel shortening prefilters. The minimum-phase MIMO prefilter outperforms the published approaches. In addition, the minimum-phase MIMO prefilter is less complex to compute.
Keywords :
MIMO systems; decision feedback equalisers; filters; least mean squares methods; matrix decomposition; DFSE; MIMO systems; MMSE; channel shortening prefilters; decision feedback sequence estimation; energy compaction; error propagation effects minimization; low-complexity equalization; minimum-mean-square prefilters; minimum-phase prefilter; spectral factorization; Colored noise; Compaction; Equalizers; Feedback; Intersymbol interference; MIMO; Maximum likelihood estimation; Performance loss; Receiving antennas; Transmitting antennas;
Conference_Titel :
Vehicular Technology Conference, 2004. VTC 2004-Spring. 2004 IEEE 59th
Print_ISBN :
0-7803-8255-2
DOI :
10.1109/VETECS.2004.1388954