摘要
针对系统误差下机载雷达和ESM融合跟踪的问题,提出了1种基于序贯滤波的异类传感器融合跟踪模型。首先通过最近邻判决准则对机载雷达和ESM的量测点迹进行数据关联,接着对关联上的量测点迹采用序贯滤波的方法进行融合跟踪,以求更好地实现对目标的跟踪识别。仿真结果表明,在系统误差存在的条件下,机载雷达和ESM具有较好地融合跟踪效果。
In order to improve the tracking of airborne radar and ESM sensors with systematic errors,a heterogeneous fusion tracking model is proposed based on sequential filtering.For this method,the intermittent measurement from radar and ESM sensors are associated by using the nearest neighbour algorithm firstly,then the associated measurement is further used to improve the effect of fusion tracking of radar and ESM sensors.Simulation results show that target tracking can be finished effectively by using the proposed method with systematic errors.
出处
《电子测量技术》
2011年第9期44-47,64,共5页
Electronic Measurement Technology
关键词
系统误差
序贯滤波
融合跟踪
systematic errors
sequential filtering
fusion tracking
