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Fault-tolerant Integrated Navigation for Reusable Boost Vehicle Based on Strong Tracking UKF

Authors: Naigang Cui; Pengxin Han; Rongjun Mu;

Fault-tolerant Integrated Navigation for Reusable Boost Vehicle Based on Strong Tracking UKF

Abstract

Based on the special reentry navigation requirements of reusable boost vehicle (RBV), a kind of improved strong tracking unscented Kalman filter (UKF) is used for state estimation and tracking. A kind of novel method for fault diagnosis and isolation is used for checking the working state of each navigation sensor, and the effective fusion of multi-sensor information is carried out using a kind of original fusion model. The simulation results under typical failure distributions validate the perfect fault-tolerant performance of the navigation method.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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