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Maximum Likelihood Detection of Quasi-Orthogonal Space-Time Block Codes

Summary: Maximum Likelihood Detection of
Quasi-Orthogonal Space-Time Block Codes:
Analysis and Simplification
Luay Azzam and Ender Ayanoglu
Center for Pervasive Communications and Computing
Department of Electrical Engineering and Computer Science
University of California, Irvine
Abstract-- In this paper, we propose a low complexity Maxi-
mum Likelihood (ML) decoding algorithm for quasi-orthogonal
space-time block codes (QOSTBCs) based on the real-valued
lattice representation and QR decomposition. We show that for
a system with rate r = ns/T, where ns is the number of
transmitted symbols per T time slots; the proposed algorithm
decomposes the original complex-valued system into a parallel
system with ns 2 2 real-valued components, thus allowing for
a simple joint decoding of two real symbols. For a square QAM
constellation with L points (L-QAM), this algorithm achieves
full diversity by properly incorporating two-dimensional rotation
using the optimal rotation angle and the same rotating matrix for
any number of transmit antennas (N 4). We further show that


Source: Ayanoglu, Ender - Department of Electrical and Computer Engineering, University of California, Irvine


Collections: Engineering