摘要
电力干扰噪音是影响电力线载波通信质量的重要因素之一,其频谱有1/f的特点和极强的自相关性。小波分析是处理信号的重要工具,选择合适的小波分析可以将有色含噪信号进行白化处理,然后通过维纳滤波,达到极强的消噪目的。文章介绍了一种小波分析与维纳滤波相结合的消噪方法,并通过计算、理论分析及测试实验结果证明,该方法具有较大的实用价值和较强的可行性。
Interfering noise of power line is one of the important factors, which affects the quality of PLC. Its frequency spectrum has the character of the 1/f process and the great autoeorrelation. The wavelet analysis is an important tool to process signals. The proper choice of wavelet could convert non-white noise into white noise, then through Wiener Filter, to achieve denoising goal. The paper presents a denoising method of wavelet analysis that combined with Wiener Filter in the PLC. Experiment proves this method has stronger feasibility and greater practicality value.
出处
《电力系统通信》
2006年第4期42-44,共3页
Telecommunications for Electric Power System
基金
国家自然科学基金资助项目(50375070)
关键词
小波分析
维纳滤波
电力噪音
消噪处理
wavelet analysis
Wiener filter
power line noise
denoising process
