Title :
Particle smoothing techniques with turbo principle for MIMO systems
Author :
Andrieu, Christophe ; Piechocki, Robert J. ; McGeehan, Joe R.
Author_Institution :
Dept. of Math., Bristol Univ., UK
Abstract :
We address the problem of space-time communications in the context where the turbo principle is used in order to improve the robustness of the transmission. Recovering the sequence of emitted symbols in the wide-band context is known to lead to a computationally very challenging problem. We propose an adaptive numerical approximation of the BCJR algorithm, based on particle filtering/smoothing techniques. When combined with classical estimation techniques for the channel and variance of the observation noise, this algorithm is very efficient, and scales very favourably with the dimension of the problem. This is demonstrated through numerical simulations.
Keywords :
MIMO systems; Monte Carlo methods; approximation theory; channel coding; channel estimation; decoding; nonlinear filters; radio links; random noise; smoothing methods; turbo codes; BCJR algorithm; MIMO systems; Monte Carlo methods; adaptive numerical approximation; channel encoder; channel estimation; nonlinear filters; observation noise variance estimation; particle filtering; particle smoothing techniques; space-time communications; transmit antenna; turbo coding-decoding scheme; turbo decoding scheme; turbo principle; Adaptive filters; Additive noise; Approximation algorithms; Filtering algorithms; Finite impulse response filter; MIMO; Parity check codes; Receiving antennas; Smoothing methods; Transmitting antennas;
Conference_Titel :
Signal Processing Advances in Wireless Communications, 2003. SPAWC 2003. 4th IEEE Workshop on
Print_ISBN :
0-7803-7858-X
DOI :
10.1109/SPAWC.2003.1319023