On the relation of MIMO APP detection and SIMO maximum ratio combining

Authors:
Andreas Ibing;David Kühling;Holger Boche
Affiliations:
Fraunhofer Institute for Telecommunications, Heinrich-Hertz-Institut, Berlin, Germany;Fraunhofer Institute for Telecommunications, Heinrich-Hertz-Institut, Berlin, Germany;Heinrich Hertz Chair for Mobile Comm., Faculty of EECS, Technical Univ. of Berlin and Fraunhofer Inst. for Telecomm., Heinrich-Hertz-Institut, Berlin, Germany and Fraunhofer German-Sino Lab for Mo ...
Venue:
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Year:
2009

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Abstract

In classical non-iterative MIMO detection a soft-output MIMO detector computes likelihoods of the transmit bits being 1 or 0, given the received symbol vector. In iterative MIMO detection-decoding, detection performance is improved by exploiting apriori information about bit probabilities from the decoder. Transmit bits are viewed as random variables and the optimum detector performs Bayesian updating of transmit bit probabilities to compute the aposteriori probabilities (APP). We show that with growing apriori knowledge APP and max-log-APP MIMO detector performance increases up to the performance of maximum ratio combining (MRC) for SIMO transmission of BPSK modulation, when transmitting with the same energy per symbol. This is an upper bound for detector performance in iterative detection-decoding (Turbo MIMO receiver).