Belief Propagation Based Decoding of Large Non-Orthogonal STBCs
Abstract
In this paper, we present a belief propagation (BP) based algorithm for decoding non-orthogonal space-time block codes (STBC) from cyclic division algebras (CDA) having {\em large dimensions}. The proposed approach involves message passing on Markov random field (MRF) representation of the STBC MIMO system. Adoption of BP approach to decode non-orthogonal STBCs of large dimensions has not been reported so far. Our simulation results show that the proposed BP-based decoding achieves increasingly closer to SISO AWGN performance for increased number of dimensions. In addition, it also achieves near-capacity turbo coded BER performance; for e.g., with BP decoding of STBC from CDA using BPSK (i.e., 576 real dimensions) and rate-1/2 turbo code (i.e., 12 bps/Hz spectral efficiency), coded BER performance close to within just about 2.5 dB from the theoretical MIMO capacity is achieved.
Cite
@article{arxiv.0901.1867,
title = {Belief Propagation Based Decoding of Large Non-Orthogonal STBCs},
author = {Madhekar Suneel and Pritam Som and A. Chockalingam and B. Sundar Rajan},
journal= {arXiv preprint arXiv:0901.1867},
year = {2009}
}