Title
Fastest-Known Maximum-Likelihood Decoding of Quasi-Orthogonal STBCs with QAM Signals.
Abstract
We present a maximum-likelihood (ML) decoder with the lowest computational complexity known to-date for full-diversity, arbitrary size Quasi-Orthogonal Space-Time Block Codes (QO-STBCs) with symbols from square or rectangular quadrature amplitude modulation (QAM) constellations. We start with the formulation of an explicit joint two-complex-symbol decoder for general QO-STBCs with arbitrary complex symbols and then derive the proposed ML decoder for QO-STBCs with QAM symbols. The complexity savings are made possible by a simplified quadratic ML decoding statistic that utilizes algebraically the structure of the signal points of the QAM constellation. Comparative computational complexity analysis with existing ML implementations and simulation studies are included herein for illustration and validation purposes.
Year
DOI
Venue
2013
10.1109/WCL.2012.100912.120464
IEEE Wireless Commun. Letters
Keywords
Field
DocType
Maximum likelihood decoding,Complexity theory,Quadrature amplitude modulation,Block codes,Joints,Artificial intelligence
Quadrature modulation,Mathematical optimization,Carrierless amplitude phase modulation,Quadrature amplitude modulation,QAM,Block code,Quadratic equation,Algorithm,Theoretical computer science,Decoding methods,Mathematics,Computational complexity theory
Journal
Volume
Issue
ISSN
2
1
2162-2337
Citations 
PageRank 
References 
2
0.40
9
Authors
4
Name
Order
Citations
PageRank
Sandipan Kundu1404.49
Weifeng Su21612102.93
Dimitrios A. Pados322818.75
Michael J. Medley433726.06