An Integrated GPS/INS Navigation System for Land Vehicle

Author:

Hendy Hossam1ORCID,Rui Xiao Ting1,Khalil Mostafa1ORCID

Affiliation:

1. Nanjing University of Science and Technology

Abstract

A precise guided system needs an efficient control depending on a precise navigation algorithm, with the ability of getting an accurate initial attitude determination to guarantee the mission success. A navigation system is presented in this paper based on integration between inertial measuring unit and Global Positioning System via Kalman filter approach to satisfy an acceptant accuracy. The two well known Euler and Quaternion attitude determination techniques are implemented to evaluate the body orientation during motion. The carried out system is validated using both simulation data and experimental work. The simulation data is obtained using a six-degree-of-freedom model for a 122mm artillery rocket to obtain all ballistic trajectory parameters during flight. The experimental work is done using a land vehicle taking into consideration the initial attitude determination problem. The results showed high accuracy improvements with high data rates 200 Hz for full state navigation information (position, velocity and attitude).

Publisher

Trans Tech Publications, Ltd.

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhancement of INS Initial Alignment Estimation Using Wavelet De-Noising Method;2022 International Telecommunications Conference (ITC-Egypt);2022-07-26

2. Enhancement of estimated stochastic errors using Allan Variance and Wavelet De-noising for inertial navigation systems;2022 13th International Conference on Electrical Engineering (ICEENG);2022-03-29

3. Nonlinear Autoregressive Neural Network Integrated Approach for Tackling GPS Outages Intervals;2022 13th International Conference on Electrical Engineering (ICEENG);2022-03-29

4. Simulation and modelling of flight missile dynamics and autopilot analysis;IOP Conference Series: Materials Science and Engineering;2019-09-01

5. Multi-sensory data fusion for high performance attitude estimation;IOP Conference Series: Materials Science and Engineering;2019-09-01

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