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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Main Authors: Xueyun Wang, Kui Li, Pengyu Gao, Wei Wang
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2014/609154
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spelling 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
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AT kuili reinforcedultratightlycoupledgpsinssystemforchallengingenvironment
AT pengyugao reinforcedultratightlycoupledgpsinssystemforchallengingenvironment
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