Title :
Overspread Digital Transmission Over Wireless Linear Time-Varying MIMO Systems
Author :
Marques, Pedro M. ; Abrantes, Sílvio A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Porto, Porto, Portugal
fDate :
3/1/2010 12:00:00 AM
Abstract :
Accompanying the journey for higher spectral efficiency in mobile wireless communications, this paper studies multiple-input-multiple-output (MIMO) transmission in a unified framework that consolidates the phenomena responsible for frequency selectivity and time selectivity, i.e., delay overspreading and Doppler overspreading, respectively. Starting with a baseband description of the linear time-varying MIMO system, a novel approach using continuous, discrete, and hybrid linear operators leverages the process of channel orthonormalization and model discretization. Notably, this process leads to an optimal time-varying semiorthonormal matrix matched filter (the ORTHO-TS-MMF). Monte Carlo simulations test the error performance for typical wireless MIMO realizations. In particular, they unveil that combining the ORTHO-TS-MMF with optimal linear detection takes advantage of both delay and Doppler diversities, significantly reducing the symbol error probability.
Keywords :
Doppler shift; MIMO communication; Monte Carlo methods; digital communication; error statistics; matched filters; matrix algebra; Doppler diversities; Doppler overspreading; Monte Carlo simulation; baseband description; channel orthonormalization process; continuous linear operators; delay overspreading; discrete linear operators; frequency selectivity; hybrid linear operators; matched filter; mobile wireless communications; model discretization process; multiple-input-multiple-output transmission; optimal linear detection; optimal time-varying semiorthonormal matrix; overspread digital transmission; symbol error probability; time selectivity; wireless linear time-varying MIMO systems; Delay- and Doppler-dispersive wireless channels; linear operator orthogonalization; maximum-likelihood sequence estimation (MLSE); multiple-input–multiple-output (MIMO) systems; noise whitening; nonstationary multivariate decompositions; spatial and delay-Doppler diversity; time-varying matrix matched filters (MMFs);
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2009.2037640