Title :
A channel estimation using sliding window approach and tuning algorithm for MLSE
Author :
Song, Hyoung-Kyu
Author_Institution :
Syst. IC Res. Center, Korea Electron. Technol. Inst., Kyunggi, South Korea
fDate :
7/1/1999 12:00:00 AM
Abstract :
A simultaneous sliding window channel estimation and timing adjustment method is proposed for adaptive maximum-likelihood sequence equalizer (MLSE) in the global system for mobile communication (GSM) system, and also a tuning scheme based on least mean squared (LMS) algorithm is presented in order to improve the performance of equalizer. Simulation results show that the proposed channel estimation technique is effective for channel estimation of the adaptive equalizer.
Keywords :
adaptive equalisers; cellular radio; least mean squares methods; maximum likelihood sequence estimation; tuning; GSM system; LMS algorithm; MLSE; adaptive maximum-likelihood sequence equalizer; channel estimation; least mean squared algorithm; mobile communication; performance; simulation results; sliding window approach; timing adjustment method; tuning algorithm; tuning scheme; AWGN; Channel estimation; Equalizers; Finite impulse response filter; GSM; Maximum likelihood detection; Maximum likelihood estimation; Mobile communication; Quadrature phase shift keying; Timing;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/4234.775257
