一种基于IMM/MSPDAF的多传感器数据融合目标跟踪算法  

Target Tracking Algorithm Based on IMM/MSPDAF Data Fusion of Multi-Sensor

作　　者：张锐[1] 胡国平[1] 

机构地区：[1]空军工程大学导弹学院,陕西三原713800

出　　处：《现代防御技术》2010年第6期123-127,共5页Modern Defence Technology

摘　　要：基于交互式多模型和多传感器联合概率数据关联算法的机动目标跟踪,先用融合算法将红外和雷达的量测进行融合,然后利用融合后的数据,采用交互式多模型机动目标跟踪方法实现对机动目标的跟踪。仿真实验验证了算法具有良好的机动目标跟踪效果。The automotive target tracking is based on interactive multiple model multi-sensor joint probabilistic data association algorithm. Firstly, the data obtained from infrared sensor and radar is fused with fusion algorithm. And then the automotive target tracking is implemented with the fused data by using interactive multiple model algorithm. Simulation proves the feasibility of this algorithm.

关 键 词：信息融合 目标跟踪 交互式多模型/多传感器概率数据互联滤波(IMM/MSPDAF) 

分 类 号：TN959.6[电子电信—信号与信息处理] TN957.52[电子电信—信息与通信工程]