Simplified Minimum Fourth-Order Moment Haze Channel Equalization Algorithm

Abstract

Aiming at the problem of high cost in channel equalization in the traditional haze channel, the paper presents a channel equalization algorithm based on simplified minimum fourth moment. The algorithm can be combined with a second power quantizer to provide superior performance over time. The linearized description of the second power quantizer (PTQ) is obtained by the simplified-linearization method in the algorithm, and then used to stabilize the steady-state mean square analysis of the LMF-PTQ algorithm. Finally, using the accurate model of LMF-PTQ, the experimental results show that the proposed LMF-PTQ algorithm can have better performance in non-Gaussian channels and has improved ability to track time-varying channels.