Adaptive MLSE Equalizer with Per-Survivor QR Decomposition for Trellis-Coded MIMO Transmission

Authors:
Toshiaki Koike;Hidekazu Murata;Susumu Yoshida
Affiliations:
Graduate School of Informatics, Kyoto University, Japan;Graduate School of Science and Engineering, Tokyo Institute of Technology, Japan;Graduate School of Informatics, Kyoto University, Japan
Venue:
Wireless Personal Communications: An International Journal
Year:
2005

Citing 3
Cited 1

Adaptive filter theory (3rd ed.)

Adaptive filter theory (3rd ed.)
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Matrix computations (3rd ed.)
A universal lattice code decoder for fading channels

IEEE Transactions on Information Theory

Semi-blind maximum-likelihood joint channel/data estimation for correlated channels in multiuser MIMO networks

Signal Processing

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Abstract

A trellis-coded multiple-input multiple-output (MIMO) transmission technique, which exploits multiple-antenna elements at both transmitter and receiver sides and employs trellis-coded modulations (TCMs), has potential to significantly increase spectral efficiency in wireless communications. At the receiver, an adaptive equalizer based on maximum-likelihood sequence estimation (MLSE) deals with intersymbol interference (ISI) incurred in wideband transmissions and jointly decodes multiplexed TCM signals. Recently, a sphere-constrained maximum-likelihood detection, so-called sphere decoding, has drawn much attention for reducing the computational burden in MIMO transmission systems. This paper describes the super-trellis structured Viterbi algorithm applying per-survivor sphere decoding, and evaluates the effect of the complexity reduction in branch metric computations.