Results 11 to 20 of about 17,502,093 (162)

Analysis of the Strapdown Inertial Navigation System (SINS) Error Genesis [PDF]

open access: yesTransport and Aerospace Engineering, 2018
Abstract Analysis and simulation of the Strapdown Inertial Navigation System (SINS) error genesis revealed that the East Feedback Contour has the greatest influence on the development of an error in this model, and angular velocity sensor Δω𝒚 is the critical element.
Trifonovs-Bogdanovs, Pjotrs   +1 more
core   +4 more sources

Mathematical Model and Matlab Simulation of Strapdown Inertial Navigation System [PDF]

open access: yesModelling and Simulation in Engineering, 2012
Basic principles of the strapdown inertial navigation system (SINS) using the outputs of strapdown gyros and accelerometers are explained, and the main equations are described. A mathematical model of SINS is established, and its Matlab implementation is
Wen Zhang, Mounir Ghogho, Baolun Yuan
doaj   +2 more sources

Experimental Results of Attitude Determination Functional Algorithms Implementation in Strapdown Inertial Navigation System

open access: yesSensors, 2022
Strapdown inertial navigation system (SINS) software developers are usually mainly focused on the attitude determination algorithm design and characteristics. Such an algorithm can be based on different mathematical apparatus.
Maksim Zharkov   +3 more
doaj   +2 more sources

A Vision Aided Initial Alignment Method of Strapdown Inertial Navigation Systems in Polar Regions

open access: yesSensors, 2022
The failure of the traditional initial alignment algorithm for the strapdown inertial navigation system (SINS) in high latitude is a significant challenge due to the rapid convergence of polar longitude.
Fubin Zhang, Xiaohua Gao, Wenbo Song
doaj   +2 more sources

In-Flight Alignment of Integrated SINS/GPS/Polarization/Geomagnetic Navigation System Based on Federal UKF

open access: yesSensors, 2022
As a common integrated navigation system, the strapdown inertial navigation system (SINS)/global positioning system (GPS) can estimate velocity and position errors well.
Songyin Cao, Honglian Gao, Jie You
doaj   +2 more sources

Research on Error Correction Technology in Underwater SINS/DVL Integrated Positioning and Navigation

open access: yesSensors, 2023
Underwater vehicles are key carriers for underwater inspection and operation tasks, and the successful implementation of these tasks depends on the positioning and navigation equipment with corresponding accuracy.
Jian Li   +5 more
doaj   +2 more sources

An Autonomous Vehicle Navigation System Based on Inertial and Visual Sensors

open access: yesSensors, 2018
The strapdown inertial navigation system (SINS) is widely used in autonomous vehicles. However, the random drift error of gyroscope leads to serious accumulated navigation errors during long continuous operation of SINS alone.
Xingxing Guang   +4 more
doaj   +2 more sources

High Performance Strapdown Inertial Navigation System Algorithms for Space Flight

open access: yes, 2008
To satisfy inertial navigation demands for space flight, high performance space-oriented strapdown inertial navigation system (SINS) algorithms are developed in the paper.
Wang, L.D.   +3 more
core   +8 more sources

A Tight Coupling Algorithm for Strapdown Inertial Navigation System (SINS)/Global Positioning System (GPS) Adaptive Integrated Navigation Based on Variational Bayesian

open access: yesSustainability, 2023
Multi-source nonlinear noise exists in the process of multi-source navigation information fusion in long-endurance positioning systems in complex environments. In such engineering applications, the classical Kalman filter (KF) and the extended Kalman filter (EKF) have the phenomena of noise instability and parameter drift, which lead to the divergence ...
Jiaxin Liu, Ke Di, Hui Peng, Yu Liu
openaire   +1 more source

Adaptive weighted federated Kalman filtering based on Mahalanobis distance and its application in navigation

open access: yesIET Communications, Volume 17, Issue 17, Page 1962-1973, October 2023., 2023
This paper proposes the adaptive weighted federated Kalman filtering based on Mahalanobis distance (MD‐AWFKF). Firstly, by calculating the Mahalanobis distance between the predicted value and the measured value of the system state, the random fluctuation of the measured value is detected.
Yi Gao   +4 more
wiley   +1 more source

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