Blind linear equalization for GSM signals in a mobile environment

Author

Li, Ge ; Ding, Zhi

Author_Institution

Hughes Network Syst. Inc., Germantown, MD, USA

fYear

1999

fDate

1999

Firstpage

801

Abstract

We investigate the application of blind adaptive equalizers in GSM wireless communication systems. Based on a single-input two-output linear approximated model, a diversity based constant modulus algorithm (CMA) and super-exponential algorithm (SEA) adaptive equalizers are implemented to GSM systems without additional antennas. These diversity based CMA and SEA equalizers are robust to channel order mismatch that cannot be overcome by SOS blind channel algorithms. They are also applicable to time-variant mobile channels due to utilization of statistical information from the entire burst. The condition for the adaptive equalizers to converge is given. All simulation results are based on a more practical wireless channel model that is quasi-time-variant (piecewise time-invariant)

Keywords

adaptive equalisers; blind equalisers; cellular radio; convergence of numerical methods; diversity reception; fading channels; higher order statistics; time-varying channels; GSM signals; GSM wireless communication systems; blind adaptive equalizers; blind linear equalization; channel order mismatch; constant modulus algorithm; convergence; diversity based equalizers; higher order statistics; mobile environment; piecewise time-invariant channel; quasi-time-variant channel; simulation results; single-input two-output linear approximated model; statistical information; super-exponential algorithm; time-variant mobile channels; Adaptive equalizers; Binary phase shift keying; Blind equalizers; Fading; GSM; Intelligent networks; Linear approximation; Nonlinear filters; Robustness; Wireless communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications and Networking Conference, 1999. WCNC. 1999 IEEE

Conference_Location

New Orleans, LA

ISSN

1525-3511

Print_ISBN

0-7803-5668-3

Type

conf

DOI

10.1109/WCNC.1999.796766

Filename

796766