The minimum error entropy based robust wireless channel tracking in impulsive noise

Author

Xue, Yisheng ; Zhu, Xuelong

Author_Institution

Dept. of Electron. Eng., Tsinghua Univ., Beijing, China

Volume

6

Issue

6

fYear

2002

fDate

6/1/2002 12:00:00 AM

Firstpage

228

Lastpage

230

Abstract

This article concerns the problem of adaptive wireless channel tracking in the non-Gaussian /spl alpha/-stable noise. By assuming a primitive Cauchy distribution for the estimate error and minimizing the entropy of error, we develop the least entropy of error (LEE) based wireless channel tracking algorithm and the second-order LEE (SOLEE) algorithm. Simulation results show that both algorithms are robust to impulsive noise and such robustness can be achieved without any performance loss in the Gaussian noise.

Keywords

AWGN; adaptive filters; adaptive systems; impulse noise; minimum entropy methods; radio tracking; telecommunication channels; AWGN; Gaussian /spl alpha/-stable noise; LEE; SOLEE algorithm; adaptive filtering; adaptive wireless channel tracking; additive white Gaussian noise; fading channel; impulsive noise; least entropy of error; minimum error entropy; primitive Cauchy distribution; robust wireless channel tracking; second-order LEE algorithm; simulation results; wireless channel; wireless channel tracking algorithm; AWGN; Adaptive arrays; Additive white noise; Entropy; Fading; Gaussian noise; Least squares approximation; Noise robustness; Receiving antennas; Signal processing algorithms;

fLanguage

English

Journal_Title

Communications Letters, IEEE

Publisher

ieee

ISSN

1089-7798

Type

jour

DOI

10.1109/LCOMM.2002.1010863

Filename

1010863