Results 31 to 40 of about 703 (158)
Noncommutativity Error Analysis of Strapdown Inertial Navigation System under the Vibration in UAVs
Noncommutativity error of a strapdown inertial navigation system (SINS) in an unmanned aerial vehicle's (UAV) vibration environment is analysed. The traditional analysis of noncommutativity errors is based on a coning motion model, which is inconsistent ...
Jianye Liu +3 more
core +2 more sources
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
doaj +1 more source
An improved initial alignment method based on adaptive robust CKF algorithm
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
doaj +1 more source
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
Distributed Strapdown Inertial Navigation System Error and Inertial Sensory Bias Compensation
In this paper, error dynamic model of Strapdown inertial navigation system (SINS) is employed for error compensation of Strapdown algorithm. Perfect visual sensor data is fused with inertial sensors to produce deviation vectors as noisy measurement ...
Nargess Sadeghzadeh Nokhodberiz +1 more
doaj +1 more source
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
To obtain a high‐precision pedestrian location result under the environments that there is no GNSS signal, the paper proposes a novel pedestrian navigation system by using the zero velocity update procedure technology (ZUPT) and the improved Sage–Husa Adaptive Kalman Filter (SHAKF) based on index fading memory.
Lei Huang +5 more
wiley +1 more source
Integrated Navigation Method of Aerospace Vehicle Based on Rank Statistics
The large dynamic and high‐speed flight of aerospace vehicle will bring unpredictable conditions to its navigation system, resulting in that its system random noise probability distribution will no longer meet the preconditions of Gaussian distribution preset by the existing filter algorithm, thus reducing the accuracy of the navigation system.
Jun Kang +4 more
wiley +1 more source
In terms of driverless systems, high‐precision positioning technology is one among the critical aspects of driverless cars to achieve driverlessness. This study analyzed the working principles of GNSS (global navigation satellite system) and SINS (strapdown inertial navigation system) and elaborated the principles of the least square method and LAMBDA ...
Zhongyi Zhao +3 more
wiley +1 more source
Reliable SINS/SAR/GNSS Integrated Navigation System for the Supersonic Vehicle
In the GNSS‐challenged/denied environments, compared with other aided navigation systems, synthetic aperture radar‐ (SAR‐) aided navigation systems can achieve all‐weather, all‐day, and global positioning. This paper is aimed at designing a reliable navigation system for the supersonic vehicle in the whole flight phase.
Pengxiang Yang +6 more
wiley +1 more source

