舰船电子工程2026，Vol.46Issue(4)：53-60,8.DOI:10.3969/j.issn.1672-9730.2026.04.010
基于CKF的最大似然误差配准算法
Maximum Likelihood Error Registration Algorithm Based on CKF
张敬艳 1董凯 2孙顺3
作者信息
- 1. 海军装备部 北京 100080
- 2. 海军航空大学信息融合研究所 烟台 264000||中国电子科学研究院 北京 100041
- 3. 海军航空大学信息融合研究所 烟台 264000
- 折叠
摘要
Abstract
The traditional maximum likelihood registration(MLR)algorithm estimates the target state by directly projecting noisy measurements into the target state space after correction with the estimated systematic deviation.However,such algorithms ig-nore the influence of random measurement noise on the estimation performance.To address this problem,a target state estimation al-gorithm based on Cubature Kalman Filter(CKF)is proposed.The algorithm adopts CKF to realize real-time target state estimation,and improves error registration efficiency via iterative fusion,thus enhancing the fusion accuracy.The effectiveness,robustness and superiority of the proposed algorithm are verified by simulation analysis of the impacts of different random measurement noise and different systematic deviations on target state estimation,as well as the comparison of target state estimation performance of different algorithms.关键词
容积卡尔曼滤波/极大似然配准/状态估计/数据融合Key words
cubature Kalman filter/maximum likelihood registration/state estimation/data fusion分类
信息技术与安全科学引用本文复制引用
张敬艳,董凯,孙顺..基于CKF的最大似然误差配准算法[J].舰船电子工程,2026,46(4):53-60,8.
