Belief Propagation Based Decoding of Large Non-Orthogonal STBCs

dc.creatorSuneel, Madhekar
dc.creatorSom, Pritam
dc.creatorChockalingam, A.
dc.creatorRajan, B. Sundar
dc.date2009-01-13
dc.date.accessioned2026-07-07T12:29:03Z
dc.date.available2026-07-07T12:29:03Z
dc.descriptionIn 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 $24\times 24$ 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.
dc.identifierhttps://arxiv.org/abs/0901.1867
dc.identifierhttp://arxiv.org/abs/0901.1867
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/215746
dc.subjectInformation Theory
dc.titleBelief Propagation Based Decoding of Large Non-Orthogonal STBCs
dc.typetext

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