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基于小波分析的电磁干扰测量技术研究

刘胜 张兰勇 张利军

刘胜, 张兰勇, 张利军. 基于小波分析的电磁干扰测量技术研究[J]. 电子与信息学报, 2010, 32(5): 1229-1233. doi: 10.3724/SP.J.1146.2009.00631
引用本文: 刘胜, 张兰勇, 张利军. 基于小波分析的电磁干扰测量技术研究[J]. 电子与信息学报, 2010, 32(5): 1229-1233. doi: 10.3724/SP.J.1146.2009.00631
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

基于小波分析的电磁干扰测量技术研究

doi: 10.3724/SP.J.1146.2009.00631

The Study of Electromagnetic Interference Measurement Technique Based on Wavelet Analysis

  • 摘要: 该文提出了一种新颖的可在开阔场快速测试受试设备的电磁干扰的数字信号处理技术。利用小波变换对测试信号分频滤波处理,可以在被环境噪声污染的地方进行受试设备的电磁辐射干扰测试。基于小波分析的阈值函数滤波方法得到应用。利用小波分析时频都可局部化的特点计算出环境噪声的相关性,提取出噪声的时频特性,并由给出的阈值函数对噪声滤除或者衰减,得到受试设备的实际电磁辐射信号。测试方法使得受试设备不必进入暗室即可进行电磁辐射干扰测量,既节省了测试费用又方便了受试设备的电磁干扰测试。系统运行结果证明此方法在30 Hz~1000 MHz的频段内成功衰减并滤除了环境噪声。
  • 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.
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出版历程
  • 收稿日期:  2009-04-28
  • 修回日期:  2009-11-25
  • 刊出日期:  2010-05-19

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