Title
Blind GSM channel estimation based on higher order statistics
Abstract
The performance of many communication systems could be improved if the transmission channel was estimated blindly, i.e. without training sequences. As an example, we investigate whether, on GSM conditions, the blind channel estimation method EVI (eigen vector approach to blind identification) can compete with the non-blind least squares scheme based on the cross-correlation. For Gaussian stationary uncorrelated scattering channels, we give simulated bit error rates (BER) after Viterbi detection in terms of the mean signal-to-noise ratio (S¯N¯R¯) for blind, non-blind, and ideal channel estimation. Averaged over three COST-207 propagation environments, EVI leads to an S¯N¯R¯ loss of 1.1 dB only, which is quite remarkable for an approach based on higher order statistics, as just 142 samples can be used for blind channel estimation
Year
DOI
Venue
1997
10.1109/ICC.1997.604942
Communications, 1997. ICC '97 Montreal, Towards the Knowledge Millennium. 1997 IEEE International Conference
Keywords
Field
DocType
Gaussian channels,Viterbi detection,cellular radio,coding errors,correlation methods,data communication,eigenvalues and eigenfunctions,electromagnetic wave scattering,error statistics,higher order statistics,land mobile radio,parameter estimation,BER,COST-207 propagation environments,GSM data transmission,Gaussian stationary uncorrelated scattering channels,Viterbi detection,blind GSM channel estimation,blind identification,communication systems performance,cross-correlation,eigenvector approach,higher order statistics,ideal channel estimation,mean signal-to-noise ratio,nonblind least squares,simulated bit error rates,transmission channel
Least squares,GSM,Computer science,Higher-order statistics,Communication channel,Algorithm,Real-time computing,Gaussian,Estimation theory,Statistics,Blind equalization,Viterbi algorithm
Conference
Volume
ISBN
Citations 
1
0-7803-3925-8
2
PageRank 
References 
Authors
0.55
3
2
Name
Order
Citations
PageRank
Dieter Boss1131.81
Kammeyer, K.-D.219421.42