Robust filtering algorithm based on time-varying noise
Aircraft Engineering and Aerospace Technology
ISSN: 0002-2667
Article publication date: 4 January 2016
Abstract
Purpose
The federated filter created by Carlson has been widely used in multi-sensor integrated navigation. Compared with no-reset federated filter, the reset mode has greater sub-filters’ performance, but faults of any subsystem would affect other healthy subsystems via global fusion and the sub-optimality of sub-filters’ estimation has influence on fault detection sensitivity. It’s a challenge to design a robust reset federated filter.
Design/methodology/approach
The time-varying observation noise is designed to reduce proportions of observation information in faulty sub-filters. A new dynamic information distribution algorithm based on optimal residual chi-square detection function is presented to reduce proportions of faulty sub-filters’ estimation in information fusion filter.
Findings
The robust filtering algorithm represents a filtering strategy for reset federated filter. Compared with fault isolation, the navigation result is smoother by using this algorithm. It has significant benefits in avoiding faulty sensors’ contamination and the performance of federated filter is greatly improved.
Research limitations/implications
The approach described in this paper provides a new method to deal with federated reset filter’s faulty problems. This new robust federated filter algorithm possesses a great potential for various applications.
Practical implications
The approach described in this paper can be used in multi-sensor integrated navigation with no fewer than three sensors.
Originality/value
Compared with conventional approach of fault isolation, the proposed algorithm does not destroy the continuity and integrity of the filtering process. It improves the performance of the federated filter by reducing proportions of faulty observation information. It also reduces the influence of sub-optimality on fault detection sensitivity.
Keywords
Acknowledgements
This work was partially supported by the National Natural Science Foundation of China (Grant No. 61374115, 91016019, 61210306075, 60904091, 61203188), the Aeronautic Science Foundation of China contract (Grant No. 2011ZC52044), and the peak of six personnel in Jiangsu Province, the Qing Lan Project of Jiangsu Province, the China Scholarship Council, the Fundamental Research Funds for the Central Universities (Grant No. NZ2014406, NP2015406, NJ20150012, NP20152212), the innovation project of graduate student in Jiangsu Province (Grant No. KYLX15_0264), the Nanjing University of Aeronautics and Astronautics Special Research Funding and the Priority Academic Program Development of Jiangsu Higher Education Institutions. The author would like to thank the anonymous reviewers for helpful comments and valuable remarks.
Citation
Shao, H., Xiong, Z., Xu, J., Hua, B. and Han, S. (2016), "Robust filtering algorithm based on time-varying noise", Aircraft Engineering and Aerospace Technology, Vol. 88 No. 1, pp. 189-196. https://doi.org/10.1108/AEAT-06-2013-0108
Publisher
:Emerald Group Publishing Limited
Copyright © 2016, Emerald Group Publishing Limited