摘要
针对在使用雷达跟踪目标应用中,目标运动模型通常线性地建模在直角坐标系内,而量测数据由传感器获得的实际情况,提出了基于量测转换方法的概率数据关联算法。推导了该算法中相关的滤波估计、滤波误差协方差和数据关联概率,并且提出了跟踪门的确定方法。仿真结果表明了新算法的可行性和有效性。
In tracking targets application with radar, target dynamics is usually modeled in the Cartesian coordinates, while target measurements are obtained in the original sensor coordinates. A new approach namedprobabilistic data association algorithm based on techniques for converting measurements was proposed.Filter estimate, error covariance and probability of data association relative to the algorithm were deduced, and new gating techniques for target tracking in clutters were given. Monte Carlo simulation results indicate that new approach is effective and feasible.
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2006年第3期565-569,共5页
Journal of System Simulation
关键词
目标跟踪
量测转换
概率数据关联
跟踪门
target tracking
measurement conversion
pobabilistic data association
gate for target tracking
