On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
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Serial concatenation of interleaved codes: performance analysis, design, and iterative decoding
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Space-time block coding for wireless communications: performance results
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Design of FIR precoders and equalizers for broadband MIMO wireless channels with power constraints
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Iterative channel estimation and equalization of STBC-OFDM system over time-varying ISI channels
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Channel equalization for high data rate MIMO systems
MILCOM'03 Proceedings of the 2003 IEEE conference on Military communications - Volume II
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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.