Impact of blind versus non-blind channel estimation on the BER performance of GSM receivers

Author

Boss, Dieter ; Petermann, Thorsten ; Kammeyer, Karl-Dirk

Author_Institution

Dept. of Telecommun., Bremen Univ., Germany

fYear

1997

fDate

21-23 Jul 1997

Firstpage

62

Lastpage

66

Abstract

We investigate in this paper whether the HOS-based blind channel estimation method EVI (eigenvector approach to blind identification) can compete with the nonblind cross-correlation-based scheme used in state-of-the-art GSM receivers (Global System for Mobile communication). For blind, non-blind, and ideal estimates of COST-207 mobile radio channels, we give simulated bit error rates (BER) after Viterbi detection in terms of the mean signal-to-noise ratio (SNR). Averaged over three COST-207 propagation environments, EVI leads to a mean SNR loss of 1.2 dB only, while it saves the 22% overhead in the GSM data rate due to the transmission of training sequences. Since just 142 samples are used for channel estimation, we consider this performance outstanding for an approach based on HOS

Keywords

Viterbi detection; cellular radio; digital radio; error statistics; estimation theory; land mobile radio; radio receivers; telecommunication channels; 1.2 dB; BER performance; COST-207 mobile radio channels; EVI; GSM receivers; HOS; Viterbi detection; bit error rates; blind channel estimation; eigenvector approach to blind identification; higher order statistics; loss; nonblind channel estimation; nonblind cross-correlation-based scheme; propagation environments; signal-to-noise ratio; training sequences; Baseband; Bit error rate; Channel estimation; Delay; Demodulation; Finite impulse response filter; GSM; Mathematical model; Maximum likelihood estimation; Viterbi algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Higher-Order Statistics, 1997., Proceedings of the IEEE Signal Processing Workshop on

Conference_Location

Banff, Alta.

Print_ISBN

0-8186-8005-9

Type

conf

DOI

10.1109/HOST.1997.613488

Filename

613488