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

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 al...

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Bibliographic Details
Published in:IEEE communications letters 2002-06, Vol.6 (6), p.228-230
Main Authors: Xue, Yisheng, Zhu, Xuelong
Format: Article
Language:English
Subjects:
Adaptive arrays
Additive white noise
Algorithms
Applied sciences
AWGN
Channels
Detection, estimation, filtering, equalization, prediction
Entropy
Errors
Exact sciences and technology
Fading
Gaussian
Gaussian noise
Information, signal and communications theory
Least squares approximation
Noise
Noise robustness
Receiving antennas
Robustness
Signal and communications theory
Signal processing algorithms
Signal, noise
Telecommunications and information theory
Tracking
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Summary: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.
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2002.1010863