A General Zero Attraction Proportionate Normalized Maximum Correntropy Criterion Algorithm for Sparse System Identification

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	A General Zero Attraction Proportionate Normalized Maximum Correntropy Criterion Algorithm for Sparse System Identification
	Li, Yingsong; Wang, Yanyan; Albu, Felix; Jiang, Jingshan; 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.
作者部门	微波遥感部
	2017
发表期刊	SYMMETRY-BASEL
ISSN	2073-8994
卷号	9 期号:10 页码:229
摘要	A general zero attraction (GZA) proportionate normalized maximum correntropy criterion (GZA-PNMCC) algorithm is devised and presented on the basis of the proportionate-type adaptive filter techniques and zero attracting theory to highly improve the sparse system estimation behavior of the classical MCC algorithm within the framework of the sparse system identifications. The newly-developed GZA-PNMCC algorithm is carried out by introducing a parameter adjusting function into the cost function of the typical proportionate normalized maximum correntropy criterion (PNMCC) to create a zero attraction term. The developed optimization framework unifies the derivation of the zero attraction-based PNMCC algorithms. The developed GZA-PNMCC algorithm further exploits the impulsive response sparsity in comparison with the proportionate-type-based NMCC algorithm due to the GZA zero attraction. The superior performance of the GZA-PNMCC algorithm for estimating a sparse system in a non-Gaussian noise environment is proven by simulations.
项目资助者	National Key Research and Development Program of the China-Government Corporation Special Program [2016YFE0111100] ; Science and Technology innovative Talents Foundation of Harbin [2016RAXXJ044] ; Projects for the Selected Returned Overseas Chinese Scholars of Heilongjiang Province ; MOHRSS of China ; PhD Student Research and Innovation Fund of the Fundamental Research Funds for the Central Universities [HEUGIP201707]
关键词	Adaptive Filter Normalized Maximum Correntropy Criterion Normalized Least Mean Square (Nlms) Proportionate Nlms (pNlms) Zero Attracting Impulsive Noise
收录类别	SCI
语种	英语
文献类型	期刊论文
条目标识符	http://ir.nssc.ac.cn/handle/122/6072
专题	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	Li, Yingsong,Wang, Yanyan,Albu, Felix,et al. A General Zero Attraction Proportionate Normalized Maximum Correntropy Criterion Algorithm for Sparse System Identification[J]. SYMMETRY-BASEL,2017,9(10):229.
APA	Li, Yingsong,Wang, Yanyan,Albu, Felix,Jiang, Jingshan,Li, YS ,&Li, YS .(2017).A General Zero Attraction Proportionate Normalized Maximum Correntropy Criterion Algorithm for Sparse System Identification.SYMMETRY-BASEL,9(10),229.
MLA	Li, Yingsong,et al."A General Zero Attraction Proportionate Normalized Maximum Correntropy Criterion Algorithm for Sparse System Identification".SYMMETRY-BASEL 9.10(2017):229.

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2017910229.pdf（1951KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	请求全文