A Weighted Average Least p-Norm Algorithm under Alpha Stable Noise Conditions
α稳定分布下的加权平均最小p-范数算法

This paper introduces a new adaptive filtering algorithm under the α-stable noise conditions, which is obtained by minimizing the weighted average p-norm of error function. Two new versions of momentum LMP algorithm can be derived from the proposed one. Computer simulations on the channel equalization under the α-stable noise conditions show that the proposed algorithms provide better estimation performance than those of the existing LMP algorithm.