Study on SRUKF Applied in Initial Alignment with Large Misalignment Angle on Stationary Base of SINS
2011 ◽
Vol 383-390
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pp. 5088-5093
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Keyword(s):
The initial alignment error model of SINS (Strap-down Inertial Navigation System) with large misalignment angle is nonlinear. The traditional EKF (Extended Kalman Filter) was used to linearization a nonlinear system, but its performance is limited. In this paper we use the SRUKF (Square Root Unscented Kalman Filter) to process this nonlinear system and the results indicate that SRUKF is better than EKF in convergence speed and estimation accuracy.
2018 ◽
Vol 89
(11)
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pp. 115102
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2014 ◽
Vol 2014
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pp. 1-8
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2012 ◽
Vol 466-467
◽
pp. 617-621
2017 ◽
Vol 2017
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pp. 1-10
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2020 ◽
pp. 014233122093429
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2014 ◽
Vol 31
(10)
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pp. 2350-2366
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Keyword(s):
2014 ◽
Vol 17
(4)
◽
pp. 537-543
2016 ◽
Vol 9
(3)
◽
pp. 319-328