Multi-senor QR decomposition of the matrix Fusion interval kalman smoother

DOI

10.2991/iccnce.2013.133How to use a DOI?

Keywords

fixed-interval Kalman smoothers , the QR decom-position of matrix ,multiple sensors

Abstract

In this paper ,a new algorithm is proposed for computing weights fusion of fixed-interval Kalman smoothers in the linear minimum variance sense ,the QR decomposition of matrix is presented for the weights for discrete time-varying linear stochastic control systems with multiple sensors and correlated noises ,Theoretical predictions and numerical evidences indicate that the algorithm of QR decomposition of matrix to value the weights fusion fixed-interval Kalman smoothers can save dramatically the memory and alleviate considerably the computational burden without loss of any numerical precision.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Guobo Xie
AU  - Long Guo
AU  - Wen Lu
PY  - 2013/07
DA  - 2013/07
TI  - Multi-senor QR decomposition of the matrix Fusion interval kalman smoother
BT  - Proceedings of the International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013)
PB  - Atlantis Press
SP  - 538
EP  - 541
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccnce.2013.133
DO  - 10.2991/iccnce.2013.133
ID  - Xie2013/07
ER  -