Loading…

A unified performance analysis framework for differential detection in MIMO Rayleigh fading channels

In this paper, a unified framework for the analysis of differential detection (DD) schemes in time-variant multiple-input multiple-output Rayleigh fading channels is provided. The present results are very general in that they apply to transmission with differential phase-shift keying, unitary differ...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on communications 2008-11, Vol.56 (11), p.1972-1981
Main Authors: Pauli, V., Schober, R., Lampe, L.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, a unified framework for the analysis of differential detection (DD) schemes in time-variant multiple-input multiple-output Rayleigh fading channels is provided. The present results are very general in that they apply to transmission with differential phase-shift keying, unitary differential space-time modulation (DSTM), and block DSTM and reception with conventional DD (CDD), multiple-symbol DD (MSDD), decision-feedback DD (DFDD), and (differentially) coherent detection (CD). New result for general quadratic forms of Gaussian random variables are derived which allows us to obtain elegant closed-form expressions for the pairwise error probabilities (PEPs) of the dominant error events of the considered detectors. Furthermore, it is shown that a unified treatment of all considered detectors is possible with a properly defined effective signal-to-noise ratio (ESNR) and a useful connection between MSDD and minimum-mean-squared-error (MMSE) interpolation is established. Interesting novel results obtained from this analysis include: (i) DSTM constellations designed for CDD and CD are also optimum for MSDD and DFDD; (ii) the error floor entailed by MSDD and DFDD in time-variant fading decreases exponentially with the observation window size N; and (iii) in time-variant fading with effective normalized fading bandwidth B h,eff T MSDD with N &#x02192 ∞ suffers only from an SNR loss of (1 -2B h,eff T) compared to CD, whereas DFDD suffers from a diversity loss of (1 - 2B h,eff T).
ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2008.060692