作者：黄瑞龙^1,2, 刘桂雄², 黄坚², 钟森鸣²

作者单位：1. 广东石油化工学院计算机与电子信息学院, 广东 茂名 525000;
2. 华南理工大学机械与汽车工程学院, 广东 广州 510641

关键词：瞬态电磁干扰;快速傅里叶变换;线性调频Z变换;频率细分

摘要：

针对传统接收机电磁干扰（electro-magnetic interference，EMI）测试实时性差，难以实现瞬态EMI信号测量的问题，提出基于快速傅里叶变换（fast Fourier transform，FFT）与分段线性调频Z变换（segmented chirp-Z transform，SCZT）结合的瞬态EMI测试方法。首先采用FFT对整个频谱进行初扫得到范围更小的特征频带；其次，基于SCZT时间复杂度低的特点，采用SCZT对特征频带进行频率细分；最后，应用FFT-SCZT测量对幅值动态变化、频率动态变化信号进行测量验证。实验结果表明：FFT-SCZT对幅值动态变化信号的频率、幅值测量相对误差分别小于0.004 5%、2.4%，对频率动态变化信号的频率、幅值测量相对误差分别小于0.004 7%、0.25%；FFT-SCZT算法可准确测量瞬态信号。

Research on FFT-SCZT algorithm for transient EMI measurement

HUANG Ruilong^1,2, LIU Guixiong², HUANG Jian², ZHONG Senming²

1. School of Computer & Electronic Information, Guangdong University of Petrochemical Technology, Maoming 525000, China;
2. School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou 510641, China

Abstract: On account of bad real-time performance of electro-magnetic interference(EMI) receiver, transient signals EMI measurement was difficult to achieve. A fast Fourier transform (FFT) and segmented chirp-Z transform(SCZT) based transient signals EMI measurement method was proposed. The FFT was used in sweeping the whole frequency spectrum for locating the characteristic frequency spectrum. SCZT was applied to subdivide the characteristic frequency spectrum, according to the low time complexity of it. FFT-SCZT was used in measuring simulation transient EMI signals. The results show that measured by FFT-SCZT algorithm, for amplitude transient signals, the relative error of frequency and amplitude were less than 0.004 5% and 2.4% respectively. For frequency transient signals, the relative error of frequency and amplitude were less than 0.004 7% and 0.25%.

Keywords: transient EMI;FFT;CZT;frequency subdivision

2017, 43(2): 109-112,138  收稿日期: 2016-07-01;收到修改稿日期: 2016-08-15

基金项目: 广州市科技计划项目（201504010037）

作者简介: 黄瑞龙(1977-),男,广东茂名市人,讲师,硕士,主要从事智能传感技术及电磁兼容检测方面研究。

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