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Deep Integration Navigation Technique Based on Strong Tracking UKF Algorithm

2021
In order to improve precision and reliability of deep integration system of Inertial Navigation System (INS) and Global Satellite Navigation System (GNSS), an adaptive strong tracking unscented Kalman filter algorithm was adopted, which utilize suboptimal multiple fading factors to achieve parameter adaptation task for various dynamic characteristics ...
Cheng Xuwei   +4 more
openaire   +1 more source

Research on Strong Tracking UKF Algorithm of Integrated Navigation Based on BP Neural Network

Proceedings of the 4th International Conference on Computer Science and Application Engineering, 2020
Aiming at vehicles in the dense environment of tunnels, viaducts, mountainous areas, and high-rise buildings, GPS signals often suffer from short-term lock-out. A strong tracking unscented Kalman filter (STUKF) integrated navigation algorithm derived from Back Propagation neural network was proposed.
Shuai Li, Chenglin Cai
openaire   +1 more source

Joint Particle Filter and UKF Position Tracking Under Strong NLOS Situation

2007 IEEE/SP 14th Workshop on Statistical Signal Processing, 2007
The location performance within a wireless communication system is severely impaired by biases introduced in the range measures because of the Non-Line-Of-Sight (NLOS) condition, caused by obstacles in the transmitted signal path. Usually not all the base stations (BS) are in NLOS, and the knowledge of the LOS-NLOS situation for each measure can ...
Jose M. Huerta   +3 more
openaire   +1 more source

Magnetic deviation correction for magnetometers in Mini-AHRS using strong tracking UKF

2012 Oceans, 2012
This paper presents a strong tracking unscented Kalman filter (STUKF) algorithm as an in-flight method to correct the magnetic deviation for a miniature attitude and heading reference system (Mini-AHRS) used in the navigation system of the small autonomous underwater vehicle (SAUV).
null Zhang Qiang   +3 more
openaire   +1 more source

Fault-tolerant Integrated Navigation for Reusable Boost Vehicle Based on Strong Tracking UKF

17th AIAA International Space Planes and Hypersonic Systems and Technologies Conference, 2011
Based on the special reentry navigation requirements of reusable boost vehicle (RBV), a kind of improved strong tracking unscented Kalman filter (UKF) is used for state estimation and tracking. A kind of novel method for fault diagnosis and isolation is used for checking the working state of each navigation sensor, and the effective fusion of multi ...
Naigang Cui, Pengxin Han, Rongjun Mu
openaire   +1 more source

Research of Improved Multi Fading Strong Tracking UKF for Fast In-motion Initial Alignment

2022 2nd International Conference on Robotics and Control Engineering, 2022
Jianguo Liu, Xiyuan Chen, Junwei Wang
openaire   +1 more source

Robust UKF-based filtering for tracking a maneuvering hypersonic glide vehicle

Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 2022
Jingshuai Huang, Zhao-ting Li
exaly  

A strong tracking nonlinear robust filter for eye tracking

Journal of Control Theory and Applications, 2010
Zutao Zhang
exaly  

SOC Estimation of Li-Ion Power Battery Based on Strong Tracking UKF with Multiple Suboptimal Fading Factors

International Journal of Automotive Technology
Zhengjun Huang   +3 more
openaire   +1 more source

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