| 引用本文: | 翟明岳,苏岭东.基于EMD-TFPF算法的电力线通信噪声消除技术研究[J].电力系统保护与控制,2015,43(7):51-56.[点击复制] |
| ZHAI Mingyue,SU Lingdong.A noise mitigation method based on EMD-TFPF in powerline communication system[J].Power System Protection and Control,2015,43(7):51-56[点击复制] |
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| 摘要: |
| 针对电力线通信系统中，发射端与接收端之间存在大量噪声严重影响通信质量的情况，引用时频峰值滤波算法(Time-Frequency Peak Filtering, TFPF)作为噪声消除技术。考虑时频峰值滤波算法中窗长选择的严格限制，引用经验模态分解(Empirical Mode Decomposition, EMD)方法对TFPF进行改进。将信号分解为不同模态，在不同模态采用不同窗长进行TFPF滤波，以在信号保真和噪声压制方面得到更好的权衡。实验证明，相对原始TFPF，该方法具有更好的信号保真和噪声压制作用，可以有效地消除电力线通信系统噪声，降低误码率(BER)，提高通信质量。 |
| 关键词: 电力线通信 低信噪比 噪声消除 经验模态分解 时频峰值滤波 |
| DOI：10.7667/j.issn.1674-3415.2015.07.008 |
| 投稿时间：2014-12-03修订日期：2015-03-05 |
| 基金项目:国家自然科学基金项目(60972004) |
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| A noise mitigation method based on EMD-TFPF in powerline communication system |
| ZHAI Mingyue,SU Lingdong |
| (School of Electrical and Electronic Engineering, North China Electric Power University,
Beijing 102206, China) |
| Abstract: |
| In the power line communication system (PLC), large amount of noise exist between transmitter and receiver which seriously affects the reliability of the signal transmission. This paper presents a noise mitigation method based on time-frequency peak filtering (TFPF). However, there is a large restriction to TFPF by the selection of window length. In order to obtain the good trade-off between noise suppression and amplitude preservation, this paper adopts EMD method to assist TFPF. It utilizes the decomposition characteristic of EMD which can decompose a signal to a series of intrinsic mode functions (IMFs) from high frequency to low frequency and select different window length for these modes. Numerical experiments show that the EMD-TFPF method can effectively eliminate the power line communication system noise, reduce the Bit Error Rate (BER) and improve the quality of communication system. Moreover, it can make a better tradeoff between noise suppression and amplitude preservation. |
| Key words: power line communication system low SNR noise mitigation empirical mode decomposition time frequency peak filter |
