摘要
分析了一种集中式单目标雷达/红外双传感器的融合跟踪算法基本流程,针对两种传感器之间测量信息不同步的问题,采用了一种基于最小二乘法的时空配准方法。然后给出了一种基本于拉各朗乘数的最优加权平均融合算法,并设计了跟踪滤波器进行仿真实验。
This paper analyzes the basic course of target tracking based on fusion of infrared sensor and radar sensor. The differences between the measuring models of two sensors are considered and the fusion models are studied emphatically. In consideration of the asynchronous problem of data from two sensors, a time aligning between the asynchronous data based on least-square technique are presented. Then a weighted mean fusion method based on Lagrange multiplier method is used in our fusion system. A filter is also designed shows the superior performance of the fusion models. and the simulation results for each case are given, witch
