Equalization and decoding for multiple-input multiple-output wireless channels
Bjorn A. Bjerke,John G. Proakis +1 more
TL;DR: It is shown that by performing recursive precoding prior to transmission, significant interleaving gains can be realized compared to systems without precoding and an iterative ("turbo") MAP-based equalization and decoding scheme is presented.
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Abstract: We consider multiple-input multiple-output (MIMO) wireless communication systems that employ multiple transmit and receive antennas to increase the data rate and achieve diversity in fading multipath channels. We begin by focusing on an uncoded system and define optimal and suboptimal receiver structures for this system in Rayleigh fading with and without intersymbol interference. Next, we consider coded MIMO systems. We view the coded system as a serially concatenated convolutional code (SCCC) in which the code and the multipath channel take on the roles of constituent codes. This enables us to analyze the performance using the same performance analysis tools as developed previously for SCCCs. Finally, we present an iterative ("turbo") MAP-based equalization and decoding scheme and evaluate its performance when applied to a system with N transmit antennas and M receive antennas. We show that by performing recursive precoding prior to transmission, significant interleaving gains can be realized compared to systems without precoding.
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Citations
A discrete-time model for triply selective MIMO Rayleigh fading channels
TL;DR: In this paper, a statistical discrete-time model is proposed for simulating wideband MIMO fading channels which are triply selective due to angle spread, Doppler spread, and delay spread.
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On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
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J.E. Mazo
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