Advanced Search
Volume 32 Issue 5
May  2010
Turn off MathJax
Article Contents
Liu Sheng, Zhang Lan-yong, Zhang Li-jun. The Study of Electromagnetic Interference Measurement Technique Based on Wavelet Analysis[J]. Journal of Electronics & Information Technology, 2010, 32(5): 1229-1233. doi: 10.3724/SP.J.1146.2009.00631
Citation: Liu Sheng, Zhang Lan-yong, Zhang Li-jun. The Study of Electromagnetic Interference Measurement Technique Based on Wavelet Analysis[J]. Journal of Electronics & Information Technology, 2010, 32(5): 1229-1233. doi: 10.3724/SP.J.1146.2009.00631

The Study of Electromagnetic Interference Measurement Technique Based on Wavelet Analysis

doi: 10.3724/SP.J.1146.2009.00631
  • Received Date: 2009-04-28
  • Rev Recd Date: 2009-11-25
  • Publish Date: 2010-05-19
  • A innovative digital signal processing technique for fast measurements of ElectroMagnetic Interference(EMI) from devices under test in the time-domain at open area test sites is presented. Suppressing ambient noise by using the wavelet analysis, the EMI measurements of an Equipment Under Test(EUT) can be performed at a test site polluted with electromagnetic ambient noise. Frequency-domain threshold funtion filtering using the wavelet analysis method is applied. The coherence of ambient noise is computed by using the wavelet analysis in time domain and frequency domain. With the characteristic of ambient noise, it can be suppressed by the threshold function in the wavelet domain, and the pure electromagnetic radiation can be obtained readily. The EMI measurement can be performed without the anechoic chamber. It is seen that it is convenient to perform the EMI measurements while the total cost can be reduced greatly. Measurement results show that the successful cancelation of ambient noise can be obtained in the frequency range of 30 Hz to 1000 MHz.
  • Shinuzuka T and Sugiura A. Reduction of ambient noise in EMI measurement [C]. IEEE International Symposium On Electromagnetic Compatibility Digest, Nagoya, Japan, 1989, September 8-10: 24-28.[2]Parhami P, Marino M, Watkins S, and Nakauchi E. Innovative precompliance test methodology using ambient cancellation and coherence detection techniques[C]. IEEE International Symposium On Electromagnetic Compatibility, Seattle, USA, 1999: 1022-1025.[3]Braun S, Al-Qedra M, and Russer P. A novel realtime time-domain measurement system based on field programmable gate arrays[C]. 17th International Zurich Symposium On Electromagnetic Compatibility, Singapore, 2006: 501-504.[4]Braun S, Krug F, and Russer P. A novel automatic digital quasipeak detector for a time-domain measurement system[C]. 2004 IEEE International Symposium On Electromagnetic Compatibility Digest, Santa Clara, USA, 2004: 832-837.[5]Frech A.[J].Zakaria A, Braun S, and Russer P. Ambient noise cancelation with a time-domain EMI measurement system using adaptive filtering[C]. 2008 Asia-Pacific Sympsoium on Electromagnetic Compatibility 19th International Zurich Symposium on Electromagnetic Compatibility, Singapore.2008,:-[6]Klein A, Sauer T, Jedynak A, and Skrandies W. Conventional and wavelet coherence applied to sensory-evoked electrical brain activity [J].IEEE Transactions on Biomedical Engineering.2006, 53(2):266-272[7]Payandehjoo K. Suppression of unwanted harmonics using integrated complementary split-ring resonators in nonlinear transmission line frequency multipliers[J].IEEE Transactions on Microwave Theory and Techniques.2008, 56(4):931-941[8]Yue Zhao and Niu Wen-cheng. The application of wavelet analysis in ultrasonic sensor system characteristic signal pretreament[J]. Acta Scientiarun Naturaltium Universitatis Nankaiensis, 2005, 38(2): 5-9.[9]Zhang Hao, Blackburn T R, Phung B T, and Sen D. A novel wavelet transform technique for nn-line partial discharge measurements, IEEE Transactions on Dielectrics and Electrical Insulation. 2007, 14(1): 3-14.[10]Huang Juan, Qian Xin, and Wang Cheng-lin. The construction of a wavelet filter and its application in environmental research[J]. Journal of Nanjing University (Natural Sciences), 2007, 43(4): 389-396.[11]Ren Shou-xin and Gao Ling. Application of a wavelet packet transform based radial basis function neural network to analyze overlapping spectral[C]. 2008 Congress on Image and Signal Processing. China, 2008: 874-878.
  • Cited by

    Periodical cited type(18)

    1. 杨明吉,刘云涛,方硕,王云. 基于抖频和斜坡补偿的抗EMI振荡器设计. 微电子学与计算机. 2024(02): 76-83 .
    2. 刘冬,闻映红. 现场环境下弓网离线放电辐射测量方法. 电子测量与仪器学报. 2021(01): 88-95 .
    3. 徐博,刘斌,刘德政,崔耀虎,邓伟. 基于小波理论的舰船IMU加速度计信号处理算法. 中国舰船研究. 2020(02): 151-158+164 .
    4. 牛博,刘健,申巍,成林,张泽宇,李文番,张国钢. 配网柱上开关容性关合过程中电磁辐射干扰测试与仿真. 高压电器. 2020(08): 11-16 .
    5. 李帆,丁锦,沈耿彪,赵建辉. 基于复杂网络理论的编队电磁兼容网络优化. 电子与信息学报. 2017(03): 724-730 . 本站查看
    6. 郝振宇,郑晟. 关于消防供水系统综合自动化控制研究. 计算机仿真. 2017(01): 305-309 .
    7. 王健,张江明,王瑞,李旭. 论电磁环境的相对性与“接地气”的复杂度评估. 电子与信息学报. 2016(05): 1249-1255 . 本站查看
    8. 李惠敏,李晓林. 关于车载动态称重算法研究. 计算机仿真. 2016(11): 140-143 .
    9. 朱晨光,徐铭辉,华争祥,胡可. 基于小波变换的开关柜电磁干扰分析. 电力科学与工程. 2015(07): 40-45 .
    10. 杨桢,李艳,李鑫,蔡景怡. 改进小波变换的煤岩电磁辐射信号去噪方法. 辽宁工程技术大学学报(自然科学版). 2015(03): 410-413 .
    11. 张兰勇,周俊成,李冰,孙蓉. 自适应噪声谱估计抵消技术及其应用. 哈尔滨工业大学学报. 2015(09): 31-35 .
    12. 张兰勇,刘繁明,李冰. 基于聚谱分析的多通道盲信号自适应分离算法. 电子与信息学报. 2014(01): 158-163 . 本站查看
    13. 邓皓,李军,张兰勇. 基于小波分析的电磁兼容自动测试系统设计. 四川兵工学报. 2013(04): 86-90 .
    14. 毛清华,马宏伟,张旭辉. 煤矿钢芯输送带缺陷信号小波降噪研究. 煤矿机械. 2013(09): 69-71 .
    15. 安宗裕,汪泉弟,彭河蒙. 汽车雨刮电机电磁干扰特征提取方法. 电机与控制学报. 2012(07): 1-6 .
    16. 李文尧,晏冲为,黎德超,邹振巍. LTEM—Ⅰ瞬变电磁仪的研制与应用. 科学技术与工程. 2012(07): 1469-1473 .
    17. 张兰勇,刘胜,李冰. 船舶电力推进系统电磁环境虚拟暗室测试技术研究. 自动化技术与应用. 2012(03): 55-60+81 .
    18. 刘胜,张兰勇,于大泳,张利军. 改进的Hilbert-Huang变换及在电磁辐射测量中的应用研究. 仪器仪表学报. 2010(10): 2174-2179 .

    Other cited types(16)

  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (3779) PDF downloads(982) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return