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

• Published in: IEEE communications letters Vol. 6; no. 6; pp. 228 - 230
• Main Authors: Xue, Yisheng, Zhu, Xuelong
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.06.2002; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• 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; Performance evaluation; Parameter estimation; Simulation; Wireless telecommunication; Non gaussian noise; Transmission channel; Adaptive filtering; Minimum entropy methods; System identification; Algorithm
• ISSN: 1089-7798; 1558-2558
• DOI: 10.1109/LCOMM.2002.1010863

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.