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多传感器分层多级变结构组合导航信息融合方法
引用本文:穆荣军,崔乃刚.多传感器分层多级变结构组合导航信息融合方法[J].上海航天,2007,24(1):6-11.
作者姓名:穆荣军  崔乃刚
作者单位:哈尔滨工业大学,航天学院,黑龙江,哈尔滨,150001
基金项目:国家高技术研究发展计划(863计划)
摘    要:基于惯性/卫星(全球卫星定位系统(GPS)/北斗双星)/多普勒/星光组合导航系统,提出了一种用于组合导航系统的多传感器分层多级变结构部分优化故障检测、隔离与系统重构(FDIR)的信息融合模型和算法。给出了模型的构成,并讨论了分层多级融合顺序与部分融合对全局估计的影响及其优化。理论分析和仿真试验结果表明,分层多级部分优化融合模型融合后的综合性能优于联邦滤波基本融合模型。

关 键 词:组合导航  多传感器  信息融合  分层多级  融合顺序  部分融合  故障检测、隔离与系统重构
文章编号:1006-1630(2007)01-0006-06
修稿时间:2006-03-232006-05-23

Hierarchical Multistage and Rescale Information Fusion Method for Multi-Sensor Integrated Navigation
MU Rong-jun,CUI Nai-gang.Hierarchical Multistage and Rescale Information Fusion Method for Multi-Sensor Integrated Navigation[J].Aerospace Shanghai,2007,24(1):6-11.
Authors:MU Rong-jun  CUI Nai-gang
Institution:College of Astronautics Engineering, Harbin Institute of Technology, Harbin Heilongjiang 150001, China
Abstract:A hierarchical multistage and rescale information fusion method with fault detection,isolation and rescale for multi-sensor integrated navigation was put forward based on the INS/GPS/RDSS/Doppler/CNS in this paper.The model composition was given out,and the effect of the sequence of hierarchical multistage fusion and partial fusion on integrated estimation as well as the optimization were discussed. The theoretical analysis and simulation results showed that the integrated performance of the hierarchical multistage and rescale information fusion method was much better than that of rudimentary model of federated filter.
Keywords:Integrated navigation  Multi-sensor  Information fusion  Hierarchical multistage  Fusion sequence  Partial fusion  Fault detection  isolation and rescale
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