GALILEO搜救定位处理的分布式数据融合方法  

Distributed Data Fusion in GALILEO SAR Orientation

作　　者：宋叶志[1,2] 徐劲[1] 

机构地区：[1]中国科学院紫金山天文台,南京210008 [2]中国科学院研究生院,北京100049

出　　处：《天文学报》2010年第1期85-94,共10页Acta Astronomica Sinica

基　　金：科技部863课题(2007AA12Z345)资助

摘　　要：对遇险目标搜索救援的支持是GALILEO全球卫星导航系统的一项重要民用服务.文章介绍了GALILEO搜索救援子系统(SAR)定位的基本原理.在GALILEO SAR中测量量为时间信号与频率信号,文章详细地给出了两种测量信号的定位方法.基于多传感器信息融合技术,对搜索救援系统中不同测量信号进行综合状态估计.在仿真计算中,采用带噪声的模拟测量数据进行定位,数值计算的结果显示基于多传感器数据融合方法的综合状态估计是可靠的.Supporting searching and rescuing for the objects in danger is a very important civil service of Galileo Navigation Satellite System. This paper introduces the basic principles of the subsystem SAR of the GALILEO searching and rescuing system. It describes the orientation method for these two kinds of measurement signals in detail. Based on the multi-sensor data fusion technology, we make an integrated state estimation on different measurement signals of the SAR system. In the simulated calculations, we use the measurement data with the noise to orient. The calculated results show that basing on the multi-sensor data the integrated state estimation is reliable.

关 键 词：卫星 方法:数据分析 技术:其它诸多方面 

分 类 号：P128[天文地球—天体测量]