Abstract
An adaptive interference cancler algorithm based on fourth-order cumulant is proposed to overcome the fault of conventional autocorrelation-based Least Mean Square (LMS) algorithm which cannot suppress the correlated Gaussian noises. The recursive formulation of the proposed algorithm is given to reduce its computational complexity. The simulation results are presented to demonstrate the effectiveness of this novel approach.
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Supported by the National Natural Science Foundation of China(No.60232010) and the Teaching and Research Award Program for Outstanding Young Teachers in Higher Education Institutions of Ministry of Education, P.R.C.
Communication author: Ma Yongfeng, born in 1975, male, Ph.D. candidate. Dept of Electronic Engineering, Beijing Institute of Technology, Beijing 100081, China.
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Ma, Y., Zhang, W. & Tao, R. Adptive interference canceler based on fourth order cumulant. J. of Electron.(China) 22, 379–384 (2005). https://doi.org/10.1007/BF02687925
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DOI: https://doi.org/10.1007/BF02687925