摘要
多传感器信息融合技术在目标跟踪领域已经得到了广泛的应用,末制导融合技术是多传感器跟踪系统中的关键技术之一,而主动雷达、红外传感器的数据融合问题是研究的热点。由于主动雷达发射电磁波容易暴露,红外传感器隐蔽性好,但只能测角,不能测距,采用主动雷达为主、红外探测为辅的数据融合系统进行目标跟踪有利于充分地发挥红外、雷达2种传感器的互补性,使其相得益彰。基于卡尔曼滤波的预测、修正的思想,提出了一种新的融合算法,仿真结果和实验表明:利用此方法可使雷达、红外传感器达到较好的数据融合效果。
Multi-sensor data fusion has found widespread application in dealing with target tracking problem. The terminal guiding technique is one of key algorithms, Data fusion of radar infrared sensors （IR） is a significant problem. Radar is exposed for radiating and IR is secluded but can not get the distance. The system of radar and IR implements complementary information. A new way is proposed based on prediction and correlation of Kahnan filter. The simulation indicates that the algorithm has preferable fusion result by using radar and IR data.
出处
《传感器与微系统》
CSCD
北大核心
2007年第3期37-39,42,共4页
Transducer and Microsystem Technologies
基金
国防基础科研基金资助项目(K1503060217)
关键词
多传感器
信息融合
数据关联
末制导
muhi-sensor
information fusion
data association
terminal guiding
