基于自适应滤波的信号分离与窄带干扰抑制
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国家大学生创新创业训练项目(201810429202)


A method of signal separation and narrowband interference suppression based on adaptive filter
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    摘要:

    变电站复杂的电磁环境有时会对变电站电气试验工作产生干扰。基于对干扰信号的分析,讨论了自适应滤波器的基本原理,围绕最小均方误差准则以及最小均方(LMS)算法,设计了一种自适应信号分离器,并基于自适应信号分离器研究了低频窄带干扰抑制,利用快速傅里叶分解(FFT)进行了频域分析,进而实现了窄带干扰抑制,研制了一种变电站用电磁环境净空间生成装置。实验仿真结果验证了所提设计的可行性和装置的有效性,南京地区220 kV以上变电站的现场试验表明,基于该方法研制的变电站用电磁净空间生成装置能可靠抑制干扰信号,有效提升试验效率。

    Abstract:

    The complex electromagnetic environment in substation may disturb the electrical test in substation. By analyzing the interference signal, the basic principle of the adaptive filter is discussed. An adaptive signal separator are designed according to the minimum mean square error criterion and Least Mean Square (LMS) algorithm. The adaptive signal separator is used to analyze the suppression of low frequency narrow-band interference. With the help of the Fast Fourier Transformation (FFT) algorithm, frequency domain analysis is carried out. Moreover, the suppression of low frequency narrow-band interference is implemented and the practical electromagnetic clean space production device for substation is developed. The feasibility of the proposed design and the efficiency of the device are validated by the simulations in the lab. The field test results in 220 kV and above substations show that the electromagnetic clean space production device for substation based on this method can suppress the interference signal reliably and improve the test efficiency effectively.

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陈昊,廖英祺,张连芹,蒋旻奕,徐懂理,蒋增林.基于自适应滤波的信号分离与窄带干扰抑制[J].电力工程技术,2019,38(2):129-134

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历史
  • 收稿日期:2018-10-16
  • 最后修改日期:2018-12-03
  • 录用日期:2018-09-08
  • 在线发布日期: 2019-03-28
  • 出版日期: 2019-03-28
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