摘要
利用雷达和红外传感器的观测信息及目标运动的特征信息,改善系统对机动目标的跟踪性能;并在雷达无法主动开机的情况下,应用测向测时差定位法,处理机动目标的无源定位问题,在此基础上,应用数据融合技术进一步提高系统的定位与跟踪精度。
A new integrated tracking system based on radar and infrared sensor is developed. Radar measures slant range, azimuth and elevation, and infrared sensor measures azimuth and elevation accurately. Data fusion techniques is employed to get maximum likelihood method estimates and to improve the tracking performance. When radar cannot actively work this paper applies the bearing time difference location method to deal with the passive location problem of the maneuvering target, and then adopts data fusion technique to improve further the location ＆ tracking accuracy. The simulation results indicate that the method is effective and feasible.
出处
《探测与控制学报》
CSCD
北大核心
2005年第5期44-47,54,共5页
Journal of Detection & Control
关键词
雷达
红外
数据融合
目标跟踪
无源定位
radar
infrared sensor
data fusion
target tracking
passive location
