Mobility

Successive Interference Cancellation and MAP Decoding for Mobile MIMO OFDM Systems and Their Convrergence Behavior

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Executive Summary

Turbo equalization schemes based on minimum mean square error criteria available in the literature for Multiple Input Multiple Output (MIMO) systems are computationally expensive, as they require a relatively large matrix inversion. In this paper, the authors propose a sub-optimal, Successive Interference Cancelation (SIC) based Maximum A Posteriori (MAP) decoding in doubly dispersive channels for Orthogonal Frequency Division Multiplexing (OFDM) MIMO systems (SIC-MAP-MIMO). SIC-MAP-MIMO leverages on the soft feedback symbol estimate to remove the inter-carrier interference and co-antenna interference from the received data thus making the subsequent MAP decoding simple. Extrinsic information transfer chart analysis supplemented with numerical simulation results show that SIC-MAP-MIMO achieves comparable BER performance to similar equalization schemes but with significant computational savings.

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