Fault-tolerant relative navigation based on Kullback–Leibler divergence

Fault-tolerant relative navigation based on Kullback–Leibler divergence

A fault-detection method for relative navigation based on Kullback–Leibler divergence (KLD) is proposed. Different from the traditional χ 2 -based approaches, the KLD for a filter is following a hybrid distribution that combines χ 2 distribution and F -distribution. Using extended Kalman filter (EKF...

Full description

Bibliographic Details
Main Authors: Jun Xiong, Joon Wayn Cheong, Zhi Xiong, Andrew G Dempster, Shiwei Tian, Rong Wang, Jianye Liu
Format: Article
Language:English
Published: SAGE Publishing 2020-12-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.1177/1729881420979125

Similar Items

Similar Items