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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.
Department微波遥感部
Source PublicationSYMMETRY-BASEL
2017
Volume9Issue:10Pages:229
ISSN2073-8994
Language英语
KeywordAdaptive Filter Normalized Maximum Correntropy Criterion Normalized Least Mean Square (Nlms) Proportionate Nlms (pNlms) Zero Attracting Impulsive Noise
AbstractA 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.
Indexed BySCI
Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/6072
Collection微波遥感部
Corresponding AuthorLi, 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.
Recommended Citation
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-SAApplication Full Text
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