Title :
A Simple Iterative Gaussian Detector for Severely Delay-Spread MIMO Channels
Author :
Tianbin Wo ; Hoeher, P.A.
Author_Institution :
Univ. of Kiel, Kiel
Abstract :
In this paper, a low-complexity high-performance detection algorithm for multiple input multiple output (MIMO) channels with severe delay spread is proposed. This algorithm performs iterative data detection over factor graphs which apply an independence approximation as well as a Gaussian approximation. It is shown that this algorithm achieves a near-optimum BER performance for coded MIMO systems with severe delay spread. The computational complexity of this algorithm is strictly linear in the number of transmit antennas, the number of receive antennas, and the number of non-zero channel coefficients.
Keywords :
Gaussian channels; MIMO communication; approximation theory; channel coding; communication complexity; error statistics; graph theory; iterative methods; maximum likelihood detection; Gaussian approximation; MAP detector; computational complexity; delay-spread coded MIMO channel; factor graph; independence approximation; iterative Gaussian detector; multiple input multiple output channel; near-optimum BER performance; nonzero channel coefficient; receive antenna; transmit antenna; Approximation algorithms; Bit error rate; Computational complexity; Delay systems; Detection algorithms; Detectors; Gaussian approximation; Iterative algorithms; MIMO; Receiving antennas;
Conference_Titel :
Communications, 2007. ICC '07. IEEE International Conference on
Conference_Location :
Glasgow
Print_ISBN :
1-4244-0353-7
DOI :
10.1109/ICC.2007.759
