Development of information integration in navigation

Author

Yuan, Xin ; Wu, Deping

Author_Institution

Dept. of Automatic Control., Nanjing Aeronaut. Inst., China

fYear

1992

Firstpage

57

Abstract

This paper presents a new information integration principle (IIP) in state filtering and estimation of a large scale linear system. When applied to decentralized navigation systems in which one or more sensor dedicated local filters feed a larger master filter, it showed that the IIP is efficient and convenient, and can given optimal or suboptimal solutions based on the throughput, precision and reliability requirements. Practical navigation filter examples are presented and discussed in terms of structure, accuracy, throughput and fault tolerance

Keywords

State estimation; decentralised control; filtering and prediction theory; large-scale systems; linear systems; navigation; optimal control; sensor fusion; state estimation; accuracy; decentralized navigation systems; fault tolerance; information integration principle; large scale linear system; optimal control; sensor fusion; state estimation; state filtering; structure; throughput; Feeds; Information filtering; Information filters; Large scale integration; Linear systems; Navigation; Nonlinear filters; Sensor systems; State estimation; Throughput;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, 1992., Proceedings of the IEEE International Symposium on

Conference_Location

Xian

Print_ISBN

0-7803-0042-4

Type

conf

DOI

10.1109/ISIE.1992.279619

Filename

279619