单变量递推法莫尔条纹信号误差分离算法  

Separation algorithm for Moiré fringe signal errors based on single-variable recursive method

作　　者：徐从裕[1] 

机构地区：[1]合肥工业大学仪器科学与光电工程学院合肥230009

出　　处：《仪器仪表学报》2012年第8期1708-1713,共6页Chinese Journal of Scientific Instrument

基　　金：安徽省自然科学基金(11040606M113);中央高校基本科研业务费专项资金资助项目

摘　　要：提出一种莫尔条纹信号误差分离算法。该算法假定相邻几个莫尔条纹信号周期内的信号幅值和误差项为恒定值,构建一组单变量误差分离算式,其中每一个分离算式仅包含有一个莫尔条纹信号误差项,之后将每一个分离算式求解出的独立误差分离值组合在一起,统一对莫尔条纹信号进行递推修正,当递推修正的误差分离值偏差小于设定值时,递推修正结束,而递推过程中的所有中间误差分离值之积或之和就是莫尔条纹信号误差的完全分离值。实验表明,上述分离算法简单,分离精度高,可以同时分离出≥10%不等幅误差值、≥10%直流误差值以及≥35°正交误差值等。A separation algorithm for Moire fringe signal errors is presented. The algorithm assumes that the ampli tudes and errors of Moir fringe signal keeps constant in adjacent several signal cycles, and establishes a group of singlevariable error separation formulas, each formula contains only one error term of the Moire fringe signal. Then the error separation values of all separation formulas are combined and the recursive correction to the Molte fringe signal is carried out. When the reeursively corrected error separation deviations are less than the set values, the re cursive correction procedure finishes. The precise separation values of Moir6 fringe signal errors are the product or sum of all the intermediate error separation values. Experiments show that the proposed separation algorithm is simple and features high precision, and can be used to separate amplitude deviation of greater than 10% , as well as DC de viation of greater than 10% and orthogonality deviation of greater than 35°.

关 键 词：莫尔条纹信号 误差分离 单变量递推算法 

分 类 号：TP212.14[自动化与计算机技术—检测技术与自动化装置]