多级式多传感器信息融合中的状态估计

本文多级式传感器监视系统中的状态估计技术，基于背地里传感器Ｋａｌｍａｎ滤波方程，两级集中和分布估计解，本文提出多坐标系中多级式多传感器跟踪系统的三层集中估计方法，在不同笛卡尔坐标系中，本文提出了几种适合于三层多传感器信息融合系统的航迹级融合方法，其中既包括了集－分估计，也包括了分－分估计组合问题，在离散线性假设下，各层估计解都是最优的并且对同一问题的不同表现形式是等价的，另外，文中还给出多级式多传

State Estimation for Multilevel Multisensor Data Fusion Systems

This paper describes state estimation techniques for multilevel multisensor surveillance systems.Based on the single sensor Kalman filtering equations,two level centralized and distributed estimation solutions,this paper presents the three level centralized estimation algorithms for hierarchical multisensor tracking systems in multicoordinates systems.In the difference Cartesian coordinates,several kinds of track level fusion methods for three level multisensor data fusion sytems are proposed,in which both centralized distributed amd distributed distributed estimation combination problems are considered.It is shown that the opimality can be guaranteed under some communication requirements from the fusion center to the local nodes or the local nodes to the sensors.In addition,the austere solutions for hierarchical estimates in multilevel multisensor systems are given.