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 transmit antennas and receive antennas. We show that by performing recursive precoding prior to transmission, significant interleaving gains can be realized compared to systems without precoding.
Highlights
Multiple-input multiple-output (MIMO) wireless systems have attracted considerable attention in the communications community
The optimal receiver for an (N, M) multiple-input multiple-output (MIMO) multipath channel is based on joint maximum likelihood detection of the vector sequence {d(k)}, where d(k) = [d1(k)d2(k) · · · dN (k)]T is the vector of data symbols transmitted simultaneously from antennas 1 through N
We have presented a general system and channel model for coded MIMO wireless systems that use multiple transmit and receive antennas
Summary
Multiple-input multiple-output (MIMO) wireless systems have attracted considerable attention in the communications community Such systems employ multiple antennas, or antenna arrays, at both the transmitter and the receiver to enable spatial multiplexing of data and, increased data rates. Multiple antennas have been used at the receiver to provide spatial diversity and mitigate the effects of signal fading due to multipath propagation in the channel. Bauch and Naguib proposed iterative equalization and decoding of space-time codes in multipath channels with intersymbol interference (ISI) in [18]. In the second half of the paper, we analyze coded MIMO systems and propose an iterative equalization and decoding scheme.
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