Federated Filter Based on Dynamic Information Allocation with Unscented Kalman Filter

DOI

10.2991/icecee-15.2015.174How to use a DOI?

Keywords

Underwater wireless sensor; Dynamic information allocation; Federated filter; Soft failure sensitivity

Abstract

Because of the complex environment of the underwater noise and the difficulty for detecting the failure of the underwater sensors, a distributed filtering algorithm for the nonlinear target is proposed by applied the unscented kalman filter into the federated filter frame. Furthermore, the information allocation parameter is dynamically designed to be the ratio of the trace of the covariance matrix of the sub filter and the trace of the global covariance matrix. The soft failure sensitivity of the sub system is improved. The simulation result shows that the UKF federated filter can track the nonlinear target effectively and the soft failure sensitivity of the sub system can be identified easily.

Copyright

© 2015, 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  - Jue Huang
AU  - Bin Yan
PY  - 2015/06
DA  - 2015/06
TI  - Federated Filter Based on Dynamic Information Allocation with Unscented Kalman Filter
BT  - Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SP  - 911
EP  - 916
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.174
DO  - 10.2991/icecee-15.2015.174
ID  - Huang2015/06
ER  -