Reinforced Ultra-Tightly Coupled GPS/INS System for Challenging Environment
Among all integration levels currently available for Global Positioning System (GPS) and Inertial Navigation System (INS) Integrated System, ultra-tightly coupled (UTC) GPS/INS system is the best choice for accurate and reliable navigation. Nevertheless the performance of UTC GPS/INS system degrades...
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doaj-151383d513144fd6935f46a74a7338cf2020-11-24T23:59:43ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472014-01-01201410.1155/2014/609154609154Reinforced Ultra-Tightly Coupled GPS/INS System for Challenging EnvironmentXueyun Wang0Kui Li1Pengyu Gao2Wei Wang3School of Instrument Science and Optoelectronics Engineering, Beihang University, Beijing 100191, ChinaSchool of Instrument Science and Optoelectronics Engineering, Beihang University, Beijing 100191, ChinaSchool of Instrument Science and Optoelectronics Engineering, Beihang University, Beijing 100191, ChinaSchool of Instrument Science and Optoelectronics Engineering, Beihang University, Beijing 100191, ChinaAmong all integration levels currently available for Global Positioning System (GPS) and Inertial Navigation System (INS) Integrated System, ultra-tightly coupled (UTC) GPS/INS system is the best choice for accurate and reliable navigation. Nevertheless the performance of UTC GPS/INS system degrades in challenging environments, such as jamming, changing noise of GPS signals, and high dynamic maneuvers. When low-end Inertial Measurement Units (IMUs) based on MEMS sensors are employed, the performance degradation will be more severe. To solve this problem, a reinforced UTC GPS/INS system is proposed. Two techniques are adopted to deal with jamming and high dynamics. Firstly, adaptive integration Kalman filter (IKF) based on fuzzy logics is developed to reinforce the antijamming ability. The parameters of membership functions (MFs) are adjusted and optimized through self-developed neutral network. Secondly, a Doppler frequency error estimator based on Kalman filter is designed to improve the navigation performance under high dynamics. A complete simulation platform is established to evaluate the reinforced system. Results demonstrate that the proposed system architecture significantly improves navigation performance in challenging environments and it is a more advanced solution to accurate and reliable navigation than traditional UTC GPS/INS system.http://dx.doi.org/10.1155/2014/609154 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xueyun Wang Kui Li Pengyu Gao Wei Wang |
spellingShingle |
Xueyun Wang Kui Li Pengyu Gao Wei Wang Reinforced Ultra-Tightly Coupled GPS/INS System for Challenging Environment Mathematical Problems in Engineering |
author_facet |
Xueyun Wang Kui Li Pengyu Gao Wei Wang |
author_sort |
Xueyun Wang |
title |
Reinforced Ultra-Tightly Coupled GPS/INS System for Challenging Environment |
title_short |
Reinforced Ultra-Tightly Coupled GPS/INS System for Challenging Environment |
title_full |
Reinforced Ultra-Tightly Coupled GPS/INS System for Challenging Environment |
title_fullStr |
Reinforced Ultra-Tightly Coupled GPS/INS System for Challenging Environment |
title_full_unstemmed |
Reinforced Ultra-Tightly Coupled GPS/INS System for Challenging Environment |
title_sort |
reinforced ultra-tightly coupled gps/ins system for challenging environment |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2014-01-01 |
description |
Among all integration levels currently available for Global Positioning System (GPS) and Inertial Navigation System (INS) Integrated System, ultra-tightly coupled (UTC) GPS/INS system is the best choice for accurate and reliable navigation. Nevertheless the performance of UTC GPS/INS system degrades in challenging environments, such as jamming, changing noise of GPS signals, and high dynamic maneuvers. When low-end Inertial Measurement Units (IMUs) based on MEMS sensors are employed, the performance degradation will be more severe. To solve this problem, a reinforced UTC GPS/INS system is proposed. Two techniques are adopted to deal with jamming and high dynamics. Firstly, adaptive integration Kalman filter (IKF) based on fuzzy logics is developed to reinforce the antijamming ability. The parameters of membership functions (MFs) are adjusted and optimized through self-developed neutral network. Secondly, a Doppler frequency error estimator based on Kalman filter is designed to improve the navigation performance under high dynamics. A complete simulation platform is established to evaluate the reinforced system. Results demonstrate that the proposed system architecture significantly improves navigation performance in challenging environments and it is a more advanced solution to accurate and reliable navigation than traditional UTC GPS/INS system. |
url |
http://dx.doi.org/10.1155/2014/609154 |
work_keys_str_mv |
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