An Improved Alignment Method for the Strapdown Inertial Navigation System (SINS). [PDF]
Sensors (Basel), 2016 In this paper, an innovative inertial navigation system (INS) mechanization and the associated Kalman filter (KF) are developed to implement a fine alignment for the strapdown INS (SINS) on stationary base. The improved mechanization is established in the pseudo-geographic frame, which is rebuilt based on the initial position.
Liu M, Gao Y, Li G, Guang X, Li S.
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A Combination Scheme of Pure Strapdown and Dual-Axis Rotation Inertial Navigation Systems [PDF]
Sensors, 2023 Compared with the strapdown inertial navigation system (SINS), the rotation strapdown inertial navigation system (RSINS) can effectively improve the accuracy of navigation information, but rotational modulation also leads to an increase in the ...
Hongyang He +3 more
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Research on the Necessity of Lie Group Strapdown Inertial Integrated Navigation Error Model Based on Euler Angle [PDF]
Sensors, 2022 In response to the lack of specific demonstration and analysis of the research on the necessity of the Lie group strapdown inertial integrated navigation error model based on the Euler angle, two common integrated navigation systems, strapdown inertial ...
Leiyuan Qian +3 more
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An Integrated Navigation Method Based on the Strapdown Inertial Navigation System/Scene-Matching Navigation System for UAVs [PDF]
SensorsTo address the challenges of discontinuous heterogeneous image matching, significant matching errors in specific regions, and poor real-time performance in GNSS-denied environments for unmanned aerial vehicles (UAVs), we propose an integrated navigation ...
Yukun Wang +3 more
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Research on Error Correction Technology in Underwater SINS/DVL Integrated Positioning and Navigation [PDF]
Sensors, 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
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Research on IMU Calibration Model Based on Polar Decomposition [PDF]
Micromachines, 2023 As an important deterministic error of the inertial measurement unit (IMU), the installation error has a serious impact on the navigation accuracy of the strapdown inertial navigation system (SINS).
Guiling Zhao +5 more
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A Method for Predicting Inertial Navigation System Positioning Errors Using a Back Propagation Neural Network Based on a Particle Swarm Optimization Algorithm [PDF]
SensorsIn order to reduce the position errors of the Global Positioning System/Strapdown Inertial Navigation System (GPS/SINS) integrated navigation system during GPS denial, this paper proposes a method based on the Particle Swarm Optimization–Back Propagation
Yabo Wang +4 more
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Aerospace, 2021 According to the trajectory characteristics of hypersonic boost-glide vehicles, a tightly coupled integrated navigation algorithm for hypersonic vehicles based on the launch-centered Earth-fixed (LCEF) frame is proposed.
Kai Chen +3 more
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An improved initial alignment method based on adaptive robust CKF algorithm
Xibei Gongye Daxue Xuebao, 2022 When the misalignment angle is a large angle in the strapdown inertial navigation system (SINS), it is necessary to establish a nonlinear error model to estimate the error.
LI Pu, YANG Tao, MU Hongwei
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Sustainability, 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
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