Noise-Free Maximum Correntropy Criterion Algorithm in Non-Gaussian Environment

doi:10.1109/TCSII.2019.2914511

NSSC OpenIR

	Noise-Free Maximum Correntropy Criterion Algorithm in Non-Gaussian Environment
Alternative Title	WOS:000572634400110
	Shi, Wanlu ; Li, Yingsong 1; Wang, Yanyan
Source Publication	IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
	2020
Volume	67 Issue:10 Pages:2224-2228
DOI	10.1109/TCSII.2019.2914511
ISSN	1549-7747
Language	英语
Keyword	Heuristic algorithms Signal processing algorithms Cost function Computational complexity Kernel Noise reduction Circuits and systems Adaptive filters noise-free algorithm maximum correntropy criterion Students' T distribution SQUARES SIGNAL
Abstract	In this brief, a noise-free maximum correntropy criterion (NFMCC) algorithm is proposed for system identification in non-Gaussian environments. The proposed algorithm utilizes correntropy theory to construct a cost function which is realized based on a normalized Gaussian kernel. In addition, a new dynamic step size scheme is proposed to enhance the performance of the proposed algorithm, which is implemented by minimizing the noise-free a posteriori error signal, and the mean square deviation (MSD) is greatly decreased. The proposed NFMCC algorithm shows significant property in reducing the detrimental effects of outliers and impulsive noise with different input signals. Moreover, a Students' T distributed noise is employed to evaluate the effectiveness of the proposed algorithm in terms of the MSD and convergence for heavy tailed noising environment. The parameter effects on the NFMCC algorithm are also presented, and its performance is investigated on a real-life channel that is measured in underwater. Simulation results prove the effectiveness of the proposed algorithm which provides a considerable computational complexity and an acceptable running time.
Indexed By	SCI
Citation statistics
Document Type	期刊论文
Identifier	http://ir.nssc.ac.cn/handle/122/7588
Collection	中国科学院国家空间科学中心
Affiliation	1.Harbin Engn Univ, Coll Informat & Commun Engn, Harbin 150001, Peoples R China 2.Chinese Acad Sci, Key Lab, Microwave Remote Sensing Natl Space Sci Ctr, Beijing 100190, Peoples R China
Recommended Citation GB/T 7714	Shi, Wanlu,Li, Yingsong,Wang, Yanyan. Noise-Free Maximum Correntropy Criterion Algorithm in Non-Gaussian Environment[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS,2020,67(10):2224-2228.
APA	Shi, Wanlu,Li, Yingsong,&Wang, Yanyan.(2020).Noise-Free Maximum Correntropy Criterion Algorithm in Non-Gaussian Environment.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS,67(10),2224-2228.
MLA	Shi, Wanlu,et al."Noise-Free Maximum Correntropy Criterion Algorithm in Non-Gaussian Environment".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS 67.10(2020):2224-2228.

Files in This Item:
There are no files associated with this item.

If you have any objections to this item, please fill out the form below and the administrator will contact you as soon as possible.
Content:
Email：	*
Institution:
Verification Code:	Refresh

Any comments and suggestions are welcomed.
Title:	*
Content:
Email：	*
Verification Code:	Refresh

中国科学院国家空间科学中心机构知识库