Signal Regeneration Adaptive Equalizer for Fast Fading Environment

Author

Song, Seongwook ; Kim, Kyungho

Author_Institution

Samsung Electron. Co., Ltd., Suwon, South Korea

Volume

59

Issue

8

fYear

2011

fDate

8/1/2011 12:00:00 AM

Firstpage

2162

Lastpage

2171

Abstract

The signal regeneration method (SRE) and associated adaptive algorithms are proposed for fast fading channels. The adaptive algorithms such as the leaky least mean square (LLMS) algorithm assisted by the SRE method provide the signal-to-interference-noise-ratio (SINR) performance comparable to the linear minimum mean square error (LMMSE) equalizer, with low numerical complexity and low memory requirements. The proposed SRE-LLMS algorithm is analyzed based on the independence assumption, and shown to provide low excessive mean square error (EMSE) compared to the LMS algorithm without incurring a bias in its estimate. The simulation results for the wireless channel models such as VA30 and VA120 are presented to validate the analysis.

Keywords

adaptive equalisers; fading channels; least mean squares methods; signal processing; VA120; VA30; associated adaptive algorithm; excessive mean square error; fast fading channel; leaky least mean square algorithm; memory requirement; numerical complexity; signal regeneration adaptive equalizer; signal-to-interference-noise-ratio performance; wireless channel models; Adaptive algorithms; Algorithm design and analysis; Complexity theory; Convergence; Equalizers; Least squares approximation; Steady-state; Equalizer; fading channel; signal regeneration;

fLanguage

English

Journal_Title

Communications, IEEE Transactions on

Publisher

ieee

ISSN

0090-6778

Type

jour

DOI

10.1109/TCOMM.2011.060911.090106

Filename

5910102