光电技术应用, 2009, 24 (2): 18, 网络出版: 2009-12-30
光电探测多传感器数据融合方法研究
Method of Multi-Sensor Data Fusion in Electro-Optic Detection
数据融合算法 光电探测 加权数据融合 融合准则 data fusion algorithms electro-optic detect weighted data fusion fusion criterions
摘要
首先分析了光电探测传感器的观测特点.简要介绍了各传感器在进行数据融合时必做的重要工作——数据对准及几种数据对准方法.重点研究了具有不同传感器测量精度的光电探测系统信息加权融合概念及融合准则.给出了每种准则下的目标跟踪算法,并进行了算法仿真.仿真结果表明,对于具有不同测量精度的传感器,选择不同的融合准则,可更为准确地预测目标飞行轨迹,大大提高目标的跟踪效果和精度.
Abstract
The observational characteristics of sensors in an electro-optic detect system is analyzed, and then some data aligning methods and data aligning process are introduced, that is a major work in multi-sensor data fusion. Weighted data fusion concept and some fusion criterions of an electro-optic detect system with different testing precisions of sensors are investigated. Target-tracking algorithms based on data fusion criterions are given and simulated. The results show that different fusion criterion is selected for the sensor with different testing precisions to accurately forecast target-tracking, consequently the efficiency and accuracy of target tracking is improved.
周炳玉, 任滢. 光电探测多传感器数据融合方法研究[J]. 光电技术应用, 2009, 24(2): 18. ZHOU Bing-yu, REN Ying. Method of Multi-Sensor Data Fusion in Electro-Optic Detection[J]. Electro-Optic Technology Application, 2009, 24(2): 18.