A Maneuvering Target Tracking Algorithm Based on UKF-Singer

摘要：

Singer model is a whole statistic model,which considers all the possibility of the variance of the maneuvering target,and it is fit for a variety of situations and many kinds of maneuvers.So the probability of the occurrence of the concrete maneuver in each concrete tactics situation is small,which leads to the low accuracy of tracking.The UKF(unscented Kalman filter)-Singer algorithm uses a lot of sigma points which approach the status of the system,using unscented transformation,to get the filter value based on the update of the status equation.It efficiently solves the problem which lies in the traditional Singer model and improves the tracking accuracy.The algorithm is proved efficient through simulation tests.

作者: Yan Peng Hongbin Jin

会议类型: 国际会议

会议名称: Asia Simulation Conference 2008/the 7th International Conference on System Simulation and Scientific Computing(2008亚洲仿真会议/第七届系统仿真和科学计算国际会议)(ICSC2008)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-10（万方平台首次上网日期，不代表论文的发表时间）