Impulse Noise Suppression Based on Power Iterative ICA in Power Line Communication

被引：1

作者：

Zhang, Wei ^{[1
]}

Luo, Zhongqiang ^{[1
]}

Xiong, Xingzhong ^{[1
]}

机构：

[1] Sichuan Univ Sci & Engn, Artificial Intelligence Key Lab Sichuan Prov, Yibin 644000, Peoples R China

来源：

INTERNATIONAL JOURNAL OF ELECTRONICS AND TELECOMMUNICATIONS | 2019年 / 65卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Power line communication(PLC); orthogonal frequency division multiplexing(OFDM) signal; independent component analysis(ICA); impulse noise; PERFORMANCE EVALUATION; TRANSMISSION;

D O I：

10.24425/ijet.2019.129824

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

To overcome the detrimental influence of. impulse noise in power line communication and the trap of scarce prior information in traditional noise suppression schemes, a power iteration based fast independent component analysis (PowerICA) based noise suppression scheme is designed in this paper. Firstly, the pseudo-observation signal is constructed by weighted processing so that single-channel blind separation model is transformed into the multi-channel observed model. Then the proposed blind separation algorithm is used to separate noise and source signals. Finally, the effectiveness of the proposed algorithm is verified by experiment simulation. Experiment results show that the proposed algorithm has better separation effect, more stable separation and less implementation time than that of FastICA algorithm, which also improves the real-time performance of communication signal processing.

引用

页码：651 / 656

页数：6

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