摘要
该文提出一种新的适用于α稳定分布噪声环境的自适应滤波算法,这种算法通过使加权平均误差函数的p-范数最小来实现自适应滤波。在这种算法的基础上,该文还得到两种新的动量LMP自适应算法。将这些新算法应用于估计AR模型的参数,计算机仿真的结果表明,该文提出的算法的性能比已有LMP算法的性能要更为优越。
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.
出处
《电子与信息学报》
EI
CSCD
北大核心
2007年第2期410-413,共4页
Journal of Electronics & Information Technology
基金
国家自然科学基金(60372081
30570475
30170259)
教育部博士点基金(20050141025)资助项目
