Paper Info
Title
Is blind channel estimation feasible in mobile communication systems? A study based on GSM
Abstract
We compare the effect of blind and nonblind channel estimates on the performance of Global System for Mobile communications (GSM) receivers. More precisely, we investigate whether two blind approaches, based on higher order statistics (HOS), can compete with two conventional methods, exploiting training sequences. For blind and nonblind estimates of six fast and slowly fading mobile radio channels, we give simulated bit error rates (BERs), after Viterbi detection, in terms of the signal-to-noise ratio (SNR). We also study the influence of cochannel interferers at different values of the signal-to-interference ratio (SIR). Averaged over the six channel examples, we demonstrate that the blind channel estimation algorithm eigenvector approach to blind identification (EVI) leads to an SNR loss of 1.2-1.3 dB only, while it saves the 22% overhead in GSM data rate caused by the transmission of training sequences. Since just 142 samples are used for blind channel estimation, we consider this performance outstanding for an approach based on HOS
Year
DOI
Venue
1998
10.1109/49.730455
IEEE Journal on Selected Areas in Communications
Keywords
Field
DocType
Viterbi detection,cellular radio,cochannel interference,data communication,error statistics,fading channels,higher order statistics,parameter estimation,radio receivers,BER,GSM receivers,Global System for Mobile communications,HOS,SIR,SNR,Viterbi detection,bit error rates,blind channel estimation algorithm,blind identification,cochannel interferers,data rate,eigenvector approach,fast fading,higher order statistics,mobile communication systems,nonblind channel estimates,performance,signal-to-interference ratio,signal-to-noise ratio,slowly fading mobile radio channels,training sequences
GSM,Fading,Computer science,Higher-order statistics,Communication channel,Real-time computing,GSM services,Estimation theory,Blind equalization,Viterbi algorithm
Journal
Volume
Issue
ISSN
16
8
0733-8716
Citations 
PageRank 
References 
23
1.89
11
Authors
3
Name
Order
Citations
PageRank
Boss, D.1231.89
Kammeyer, K.-D.219421.42
T. Petermann3373.04