RFID射频信号的小波消噪方法  

Wavelet Denoising Method for RF Signal

作　　者：孙凤[1] 何怡刚[1] 肖迎群[1] 

机构地区：[1]湖南大学电气与信息工程学院,湖南长沙410082

出　　处：《计算机仿真》2010年第11期332-335,共4页Computer Simulation

基　　金：国家863计划(2006AA04A104);国家自然科学基金项目(50677014);湖南省科技计划项目(06JJ202;2008Gk2022)

摘　　要：为了改善RFID系统的性能,提出使用小波变换去噪的方法降低射频信号的噪声影响。为了提高对物体自动识别的准确率,采用了小波去噪与傅里叶变换去噪方法。根据标准ISO18000-3在LabVIEW环境下使用调制工具包仿真产生了13.56MHz的RFID射频信号,并用小波分析方法和傅里叶分析方法对仿真产生的RFID射频含噪信号进行去噪。仿真结果表明,与传统傅立叶分析消噪相比,小波消噪具有较高的精度及较好的消噪效果。研究小波分析在射频信号消噪中的应用具有现实意义并切实可行,同时小波分析应用到虚拟仪器测试领域,能够为人们提供更为精确和方便的测试,在工程应用中具有较好的应用前景。To reduce the noises in received RF signal and then improve the performance of RFID system,a novelty denoising method of wavelet transform in RFID system was proposed.The paper analyzed wavelet transform method and FFT method,and introduced wavelet transform principle and wavelet coefficients threshold denoising method.In LabVIEW environment,according to the standard ISO18000-3,RF signal at 13.56MHz was simulated using modulation toolbox,and simulated RF signal with noise was denoised by wavelet transform method and FFT method respectively.Simulation results show that wavelet transform denoising method has higher accuracy,better effect,compared with traditional FFT denoising method.The research on application of wavelet analysis in RF signal denoising is significant and practical.The wavelet analysis applied in the field of virtual instrument can provide people with more accurate and convenient testing,and has good application prospects in engineering applications.

关 键 词：虚拟仪器 射频信号 小波变换 傅里叶分析 消噪 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]