摘要
针对没有先验航迹关联信息并且系统误差范围未知的情况,利用数据链系统合作目标的精确参与平台定位与识别报告功能,提出了一种雷达系统误差协同配准算法.分析了任意一对雷达本地航迹与精确参与平台定位与识别航迹变换到参数空间点的分布特征,采用参数空间累积和峰值检测方法初步估计雷达系统误差.引入航迹对的累积平方马氏距离无偏估计量作为关联代价,将修正后的雷达航迹与精确参与平台定位与识别航迹的关联问题建模为线性规划问题,并求解全局最优指派关系,根据关联结果可精确估计出雷达系统误差.通过蒙特卡罗仿真验证了算法的性能.
Utilizing the Precise Participant Location and Identification （PPLI） reporting function of cooperative targets in the data link system,a collaborative radar registration algorithm is presented without a priori information on track-to-track association and system error scale.The distribution feature of points which is obtained by mapping any pair of local radar track and PPLI track to the parameter space is analyzed.A method is provided for preliminarily estimating the radar system error by points cumulation and peak detection in the parameter space.An unbiased estimation of the cumulative squared Mahalanobis distance of the track pair is defined as the associating cost,and the track-to-track association problem is formulized as a linear program problem to carry out global optimal track assignments.The radar system error is estimated according to the result of track association.The performance of the proposed algorithm is validated by Monte Carlo simulations.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2013年第5期26-32,140,共8页
Journal of Xidian University
基金
国家自然科学基金资助项目(61272487
61232018)
航空科学基金资助项目(20125186005)
关键词
目标跟踪
传感器配准
误差估计
航迹关联
target tracking
sensor registration
bias estimation
track correlation
