Norm Penalized Joint-Optimization NLMS Algorithms for Broadband Sparse Adaptive Channel Estimation
Wang, Yanyan; Li, Yingsong; Li, YS (reprint author), Harbin Engn Univ, Coll Informat & Commun Engn, Harbin 150001, Heilongjiang, Peoples R China.; Li, YS (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, Beijing 100190, Peoples R China.
刊名SYMMETRY-BASEL
2017
卷号9期号:8页码:133
关键词Nlms Algorithm Least Mean Square (Lms) Zero Attracting Joint-optimization Sparse Channel Estimations
ISSN号2073-8994
英文摘要A joint-optimization method is proposed for enhancing the behavior of the l(1)-norm-and sum-log norm-penalized NLMS algorithms to meet the requirements of sparse adaptive channel estimations. The improved channel estimation algorithms are realized by using a state stable model to implement a joint-optimization problem to give a proper trade-off between the convergence and the channel estimation behavior. The joint-optimization problem is to optimize the step size and regularization parameters for minimizing the estimation bias of the channel. Numerical results achieved from a broadband sparse channel estimation are given to indicate the good behavior of the developed joint-optimized NLMS algorithms by comparison with the previously proposed l(1)-normand sum-log norm-penalized NLMS and least mean square (LMS) algorithms.
语种英语
资助机构National Key Research and Development Program of China-Government Corporation Special Program [2016YFE0111100] ; National Science Foundation of China [61571149] ; Science and Technology innovative Talents Foundation of Harbin [2016RAXXJ044] ; Projects for the Selected Returned Overseas Chinese Scholars of Heilongjiang Province ; Ministry of Human Resources and Social Security of the People's Republic of China (MOHRSS) ; PhD Student Research and Innovation Fund of the Fundamental Research Funds for the Central Universities [HEUGIP201707]
内容类型期刊论文
源URL[http://ir.nssc.ac.cn/handle/122/6151]  
专题国家空间科学中心_微波遥感部
通讯作者Li, YS (reprint author), Harbin Engn Univ, Coll Informat & Commun Engn, Harbin 150001, Heilongjiang, Peoples R China.; Li, YS (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, Beijing 100190, Peoples R China.
推荐引用方式
GB/T 7714
Wang, Yanyan,Li, Yingsong,Li, YS ,et al. Norm Penalized Joint-Optimization NLMS Algorithms for Broadband Sparse Adaptive Channel Estimation[J]. SYMMETRY-BASEL,2017,9(8):133.
APA Wang, Yanyan,Li, Yingsong,Li, YS ,&Li, YS .(2017).Norm Penalized Joint-Optimization NLMS Algorithms for Broadband Sparse Adaptive Channel Estimation.SYMMETRY-BASEL,9(8),133.
MLA Wang, Yanyan,et al."Norm Penalized Joint-Optimization NLMS Algorithms for Broadband Sparse Adaptive Channel Estimation".SYMMETRY-BASEL 9.8(2017):133.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace