摘要
多传感器航迹融合较之量测融合有着诸多优势,也是信息融合领域发展最快的方向之一。论述了航迹融合理论的发展,详细讨论了航迹融合中的互相关性以及包括简单协方差凸组合、互协方差组合、信息矩阵、协方差交及基于最优线性无偏估计在内的主流融合算法,并给出了相关仿真实验结果;最后,针对当前该方向的研究现状,特别是有关混合多模型状态估计的融合问题,提出了我们的一些认识。
Multi-sensor track fusion has many advantages over measurement fusion and is also one of the most developed branches of the information fusion field. Various mainstream track fusion algorithms, including eovariance convex algorithm, Bar-Shalom Campo algorithm, information matrix algorithm, covariance intersec- tion algorithm and best linear unbiased estimation algorithm, are investigated in detail, and some simulation re- sults about them are given. In view of current research situation, some problems about the fusion of hybrid mul- tiple model state estimation are put forward, and related proposals are given.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2009年第2期245-250,共6页
Systems Engineering and Electronics
基金
国家自然科学基金资助课题(60774091)
关键词
多传感器信息融合
航迹融合
互相关性
混合估计
multi-sensor information fusion
track fusion
correlation
hybrid estimation
