@inproceedings{f0a73ec851024e5ea79f4648d23ebbb9,
title = "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.",
keywords = "Fault detection, Information fusion, RBV, STUKF",
author = "Pengxin Han and Rongjun Mu and Naigang Cui",
year = "2011",
doi = "10.2514/6.2011-2385",
language = "英语",
isbn = "9781600869426",
series = "17th AIAA International Space Planes and Hypersonic Systems and Technologies Conference 2011",
booktitle = "17th AIAA International Space Planes and Hypersonic Systems and Technologies Conference 2011",
note = "17th AIAA International Space Planes and Hypersonic Systems and Technologies Conference 2011 ; Conference date: 11-04-2011 Through 14-04-2011",
}