A Concurrent Dual Mode Adaptive Switching Blind Equalization System in Impulse Noise

Abstract

Abstract Due to the influence of various factors, the noise in actual digital communication system is non-Gaussian and always assumed to be impulse noise. But most blind equalization algorithms are mainly directed against Gaussian noise and the performance of common algorithms under impulse noise is poor. So, in this paper, we have studied the problem of channel equalization under impulse noise and improved the fractional lower order constant modulus algorithm(FLOM-CMA). Then, by convex combining with decision-directed least mean p norm(DD-LMP) algorithm, a new concurrent adaptive switching blind equalization system had been proposed here. The advantages of different modes are fully combined in our system by soft-switching, which is the FLOM mode is used to make the equalization process converge quickly, and then, after the eye map of signal is open, the joint parameter is gradually reduced to zero and our system adaptive switching to DD mode to improve its convergence accuracy. The excess mean square error(EMSE) of our system is analyzed, and several experiments have been simulated to prove that our system performs better than other traditional algorithms.