摘要
异类传感器数据关联是数据融合中的一个难点,综合利用角度和其他特征信息是改善异类传感器数据关联的一个重要途径。对于雷达在直角坐标系对目标进行跟踪、红外传感器在修正的球坐标系对目标进行跟踪情况,文章综合利用角度、角度变化率和ITG(Inverse-Time-to-Go)信息,构建了新的关联统计量,并进行了计算机仿真。结果表明,所给出的新关联统计量较之只利用角度或角度变化率的关联统计量有更好的关联性能。
Data association of heterogeneous sensor plays an important role in data fusion. The synthesized utilization of angle and other feature information is a trend to improve the performance of heterogeneous sensors in data association. In terms of association, this paper constitutes a new association statistics based on the combination of angle, angle rate and ITG information,which a radar operates in Cartesian coordinate and an IR sensor operates in the modified polar coordinate. And assimilation is made. The results show that the association performance of the proposed method is superior to that of the association statistics based on angle or angle rate information.
出处
《传感技术学报》
CAS
CSCD
北大核心
2009年第6期816-821,共6页
Chinese Journal of Sensors and Actuators
基金
国家地
县级海防管理监控中心项目资助(KJZ06088)
关键词
雷达
红外
数据关联
关联统计量
radar
IR
data association
association statistics