数据采集系统中信号滤波分析方法的优化  

Signal filtering analysis method optimized in data acquisition system

作　　者：刘培林[1,2] 张晟[3] 李锋[3] 

机构地区：[1]江南大学数字媒体学院,江苏无锡214122 [2]无锡职业技术学院物联网技术学院,江苏无锡214121 [3]中国船舶科学研究中心,江苏无锡214082

出　　处：《计算机工程与设计》2013年第11期4051-4056,共6页Computer Engineering and Design

基　　金：国防基础科研计划基金项目(B0820060399)

摘　　要：针对数据采集在信号滤波分析方面存在的问题,在数据采集信号滤波分析的基础上,结合连续离散傅里叶变换(DFT)的递归过程和实时分裂基FFT算法原理,提出了一个基于DFT递归过程的信号滤波分析方法。该滤波分析方法中蝶形运算单元的模块特性对实时分裂基FFT算法进行优化,将优化后的方法应用到某柴油机数字化实验系统中,实验结果表明,优化后的方法解决了信号滤波分析中缺少实时性的问题,降低了滤波分析的计算复杂度,提高了数据采集信号滤波分析的效率。To solve existing problems of signal filtering analysis in data acquisition system, based on the signal filtering analysis of data acquisition, the reeursive procedure of continuous discrete Fourier transform and the real time division based FFT algorithm are integrated, a signal filtering analysis method based on the recursive procedure of continuous Discrete Fourier Transform is presented. According to the module characteristics of butterfly structure in the filtering analysis method, real-time implementation of the split-radix FFT algorithm is optimized, then the optimized method is applied to a diesel engine digital test system. The result shows that the lack of real-time problem of the signal filtering analysis is solved, the computational complexity of the filtering analysis is reduced and the efficiency of the data acquisition signal filtering analysis is improved.

关 键 词：数据采集 信号滤波分析 离散傅里叶递归过程 实时分裂基快速傅里叶算法 蝶形运算单元 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]