Title :
Optimum space-time processors with dispersive interference: unified analysis and required filter span
Author :
Ariyavisitakul, Sirikiat Lek ; Winters, Jack H. ; Lee, Inkyu
Author_Institution :
Home Wireless Networks, Norcross, GA, USA
fDate :
7/1/1999 12:00:00 AM
Abstract :
We consider optimum space-time equalizers with unknown dispersive interference, consisting of a linear equalizer that both spatially and temporally whitens the interference and noise, followed by a decision-feedback equalizer or maximum-likelihood sequence estimator. We first present a unified analysis of the optimum space-time equalizer, and then show that, for typical fading channels with a given signal-to-noise ratio (SNR), near-optimum performance can be achieved with a finite-length equalizer. Expressions are given for the required filter span as a function of the dispersion length, number of cochannel interferers, number of antennas, and SNR, which are useful in the design of practical near-optimum space-time equalizers
Keywords :
circuit optimisation; cochannel interference; decision feedback equalisers; dispersive channels; fading channels; filtering theory; interference suppression; matched filters; maximum likelihood sequence estimation; noise; radio receivers; ISI; SNR; antennas; cochannel interferers; decision-feedback equalizer; dispersion length; dispersive fading channels; dispersive interference; filter span; finite-length equalizer; interference whitening; linear equalizer; matched filters; maximum-likelihood sequence estimator; near-optimum performance; near-optimum space-time equalizers; noise whitening; optimum space-time equalizer; optimum space-time processors; receivers; signal-to-noise ratio; unified analysis; Decision feedback equalizers; Dispersion; Fading; Filters; Intersymbol interference; Maximum likelihood estimation; Multipath channels; Radiofrequency interference; Receiving antennas; Signal to noise ratio;
Journal_Title :
Communications, IEEE Transactions on
