Research on Data Fusion of Photoelectric Measuring Instrument Based on UKF Algorithm

Abstract

The UKF algorithm-based data fusion technique was researched in this work in order to tackle the issues of conventional data fusion methods such as lengthy fusion processes, high recall rates of findings, and big errors. First, the photoelectric measuring principle is examined in this procedure. On the basis of UKF filtering operation on the data sample set, the fusion processing of photoelectric measurement instrument is completed through the steps of data pretreatment, vertical and horizontal fusion, and fusion quality optimization. The experimental results show that the fusion process time of this method is between 0.27 min and 0.40 min, the recall rate of the fusion result is always lower than 6%, and the fusion deviation is small, indicating that the design expectation is achieved.