Successive interference cancelation and MAP decoding for mobile MIMO OFDM systems and their convergence behavior

Abstract

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 article, we propose a suboptimal, 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 intercarrier interference and coantenna 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.

Doppler Shift Compensation Schemes in VANETs

“…While posting superior Doppler shift compensation performance compared to other schemes, iterative equalization schemes usually suffer from high computation complexity, albeit at varying degrees, thus raising practical application challenges such as need for large silicon area for implementation and high battery power for operation. In view of this dilemma, Namboondiri et al [35] proposed a suboptimal successive interference cancellation-(SIC-) based algorithm which leveraged on the soft feedback symbol estimate to remove the intercarrier interference from the received data and achieved Doppler shift compensation with lower computation complexity.…”