哈尔滨工程大学学报2018，Vol.39Issue(5)：857-862,6.DOI:10.11990/jheu.201611018
稀疏似p范数变步长LMS的水下多径抑制算法
Underwater multipath suppression algorithm based on a sparse p-norm-like constraint variable-step-size LMS
摘要
Abstract
The sparse p-norm-like constraint least mean square(LMS)algorithm faces shortcomings such as slow convergence speed and a large imbalance error.In this paper,an improved sparse p-norm-like constraint LMS algo-rithm with a variable step size is proposed to establish a discrete multipath interference model for a shallow seawater environment.The improved method uses an error-related function to adjust zero attraction.Additionally, an im-proved sigmoid function change is utilized to iterate the step size by self-adaptation.Theoretical analysis and simu-lation results show that compared with the classical LMS algorithm and the sparse p-norm-like constraint LMS algo-rithm,the proposed algorithm performs well for multipath interference suppression and has a faster convergence speed and a smaller steady-state error.关键词
水下目标探测/离散多径模型/变步长LMS/稀疏似p范数/LMS算法/Sigmoid函数Key words
detection of underwater targets/dispersed multipath model/LMS with a variable step size/sparse p-norm-like constraint/LMS algorithm/sigmoid function分类
信息技术与安全科学引用本文复制引用
冯西安,姜冰磊..稀疏似p范数变步长LMS的水下多径抑制算法[J].哈尔滨工程大学学报,2018,39(5):857-862,6.基金项目
国家自然科学基金项目(61271414 （）
61671378). （）
