Title :
Development of information integration in navigation
Author :
Yuan, Xin ; Wu, Deping
Author_Institution :
Dept. of Automatic Control., Nanjing Aeronaut. Inst., China
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;
Conference_Titel :
Industrial Electronics, 1992., Proceedings of the IEEE International Symposium on
Conference_Location :
Xian
Print_ISBN :
0-7803-0042-4
DOI :
10.1109/ISIE.1992.279619
