Title :
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
fDate :
6/1/2002 12:00:00 AM
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;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2002.1010863
