| 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 Publication | SYMMETRY-BASEL
 |
| 2017 | |
| Volume | 9Issue:10Pages:229 |
| ISSN | 2073-8994 |
| Language | 英语 |
| Keyword | Adaptive Filter Normalized Maximum Correntropy Criterion Normalized Least Mean Square (Nlms) Proportionate Nlms (pNlms) Zero Attracting Impulsive Noise |
| Abstract | 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. |
| Indexed By | SCI |
| Document Type | 期刊论文 |
| Identifier | http://ir.nssc.ac.cn/handle/122/6072 |
| Collection | 微波遥感部 |
| Corresponding Author | 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. |
| 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. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 2017910229.pdf（1951KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | Application Full Text | |
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