LabVIEW和小波算法在舰载电子设备EMI预测试中的应用

Application of LabVIEW and Wavelet Algorithm in the EMI Pretest of Shipboard Electronic Devices

舰载电子设备电磁干扰(EMI)预测试通常是在测试环境和测试系统不能完全满足标准要求的情况下进行的,EMI测量数据会因为受到环境噪声的影响而导致无法有效识别受试设备(EUT)辐射信号,测试系统也会因为专用仪表的昂贵价格而受到制约。针对电子设备EMI预测试过程中环境噪声的来源和特征,分析了小波分析在消除环境噪声中的应用原理和方法,并利用LabVIEW虚拟仪器开发环境实现了高效灵活的数据采集及其与剔噪程序的接口。实验结果证明,该方法充分结合了LabVIEW和剔噪算法的优点,不仅对消除背景噪声有明显的效果,也降低了电子设备EMI预测试系统的成本。

The electromagnetic interference（EMI） pretest of shipboard electronic device is usually carried out under the conditions that the test environment and system cannot fully meet the requirements,the equipment under test（EUT） radiation signal may not be effectively identified due to the effect of ambient noise on the EMI test data,in addition,the expensive dedicated instruments also restrict the use of test system.This paper analyzes the approach of wavelet algorithm to eliminating the ambient noise considering source and characteristics in the EMI pretest process.High-efficient and flexible data acquisition and its interface with wavelet program for noise elimination are achieved by the use of secondary development environment of LabVIEW virtual device.The experimental results show that combining LabVIEW virtual device with the advantages of wavelet program has obvious effects on both elimination of background noise and cost reduction.