Comparison of Kalman Filters for Inertial Integrated Navigation

The current research on integrated navigation is mainly focused on filtering or integrated navigation equipment. Studies systematically comparing and analyzing how to choose appropriate integrated filtering methods under different circumstances are lacking. This paper focuses on integrated navigatio...

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Published in:Sensors (Basel, Switzerland) Switzerland), 2019-03, Vol.19 (6), p.1426
Main Authors: Zhang, Mengde, Li, Kailong, Hu, Baiqing, Meng, Chunjian
Format: Article
Language:English
Subjects:
attitude
extended kalman filter
integrated navigation
multiplicative quaternion
unscented kalman filter
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cited_by cdi_FETCH-LOGICAL-c441t-27ae6642d48ed11832ce061827cd1f5c9538ea4ca0a728fe2daa0862bba0ce003
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creator Zhang, Mengde
Li, Kailong
Hu, Baiqing
Meng, Chunjian
description The current research on integrated navigation is mainly focused on filtering or integrated navigation equipment. Studies systematically comparing and analyzing how to choose appropriate integrated filtering methods under different circumstances are lacking. This paper focuses on integrated navigation filters that are used by different filters and attitude parameters for inertial integrated navigation. We researched integrated navigation filters, established algorithms, and examined the relative merits for practical integrated navigation. Some suggestions for the use of filtering algorithms are provided.We completed simulations and car-mounted experiments for low-cost strapdown inertial navigation system(SINS) to assess the performance of the integrated navigation filtering algorithms.
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subjects attitude
extended kalman filter
integrated navigation
multiplicative quaternion
unscented kalman filter
title Comparison of Kalman Filters for Inertial Integrated Navigation
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