基于D-S证据理论的光电测量数据融合

Data Fusion of Photoelectric Measurement Based on D-S Evidence Theory

当前测距装置易受到大气、噪声的干扰,导致测量数据不精准。大数据发展战略下,对数据精确度提出了新要求。针对光电测量仪器测量数据测量精度较低、可靠性较差等问题,提出了一种基于D-S证据理论的光电测量数据融合模型。模型采用决策层融合方法,实时融合传感器采集的数据。实验仿真数据表明,此模型具有较高的融合精度,有利于提高光电测量数据的精确性、实时性。

Current ranging devices are vulnerable to atmospheric and noise interference,resulting in inaccurate measurement data.Under the strategy of big data development,new requirements are put forward for data accuracy.Aiming at the problems of low accuracy and poor reliability of photoelectric measurement data,a data fusion model of photoelectric measurement based on D-S evidence theory is proposed.The model uses decision-level fusion method to fuse real-time data collected by sensors.The experimental simulation data show that the model has high fusion accuracy and is conducive to improving the accuracy and real-time performance of photoelectric measurement data.