A New Parameter Estimation Method for Flying Object Based on Bearing Measurements

摘要：

In this paper,to overcome the limitation of the real- time state tracking of PLE,an algorithm is presented that recursively computers the maximum likehood(ML)estimates of a flying object position and velocity .By combining a priori ML estimate of the flying object state vector and its error covariance matrix with bearing measurements ,updated estimates are obtained ,localization and tracking for flying object is accomplished fastly.Experiment results prove it a fast,stable, effective algorithm and a real time processing mode in tracking system.

作者: Zhe Liu Junhu Wei Jun Zhao Dongsheng Yao

作者单位: State Key Laboratory for Manufacturing System Engineering Xi an Jiaotong University Xi an ShanXi Province,China,710049

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 1411-1416

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）