Resilient fusion navigation based on failure influence level evaluation

Rong Wang; Zhi Xiong; Jianye Liu; Yuxuan Cao

Resilient fusion navigation based on failure influence level evaluation

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Author(s): Rong Wang¹ ; Zhi Xiong¹ ; Jianye Liu¹ ; Yuxuan Cao¹
- Affiliations: 1: Navigation Research Center, College of Automation Engineering , Nanjing University of Aeronautics and Astronautics , Nanjing 211106 , People's Republic of China
Source: Volume 13, Issue 5, May 2019, p. 721 – 729
DOI: 10.1049/iet-rsn.2018.5161 , Print ISSN 1751-8784, Online ISSN 1751-8792

Received 12/05/2018, Accepted 30/11/2018, Revised 14/10/2018, Published 03/01/2019

Fault subsystems are entirely isolated on the fault-detected epoch in traditional fault-tolerant integrated navigation systems. However, this strategy ignores the asymptotic change and component differences of the soft failure influence. This study proposes a resilient fusion navigation algorithm based on the failure influence level evaluation. The failure influence mapped on the local estimation components is modelled. Then, the influential level of soft failure on the locally estimated states is evaluated. The failure influence levels are used for asymptotic resilience tuning in the global fusion. The simulation results indicate that the fault-tolerant performance under soft failure is improved significantly when using the proposed resilient fusion navigation algorithm based on the failure influence level evaluation.

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Resilient fusion navigation based on failure influence level evaluation

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