Semi-analytical assessment of the relative accuracy of the GNSS/INS in railway track irregularity measurements

Abstract An aided Inertial Navigation System (INS) is increasingly exploited in precise engineering surveying, such as railway track irregularity measurement, where a high relative measurement accuracy rather than absolute accuracy is emphasized. However, how to evaluate the relative measurement acc...

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Autores principales: Qijin Chen, Quan Zhang, Xiaoji Niu, Jingnan Liu
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Lenguaje:EN
Publicado: SpringerOpen 2021
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Acceso en línea:https://doaj.org/article/a738e31d6134491eaaaa5bed9d6a3fcc
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spelling oai:doaj.org-article:a738e31d6134491eaaaa5bed9d6a3fcc2021-11-28T12:06:10ZSemi-analytical assessment of the relative accuracy of the GNSS/INS in railway track irregularity measurements10.1186/s43020-021-00057-92662-1363https://doaj.org/article/a738e31d6134491eaaaa5bed9d6a3fcc2021-11-01T00:00:00Zhttps://doi.org/10.1186/s43020-021-00057-9https://doaj.org/toc/2662-1363Abstract An aided Inertial Navigation System (INS) is increasingly exploited in precise engineering surveying, such as railway track irregularity measurement, where a high relative measurement accuracy rather than absolute accuracy is emphasized. However, how to evaluate the relative measurement accuracy of the aided INS has rarely been studied. We address this problem with a semi-analytical method to analyze the relative measurement error propagation of the Global Navigation Satellite System (GNSS) and INS integrated system, specifically for the railway track irregularity measurement application. The GNSS/INS integration in this application is simplified as a linear time-invariant stochastic system driven only by white Gaussian noise, and an analytical solution for the navigation errors in the Laplace domain is obtained by analyzing the resulting steady-state Kalman filter. Then, a time series of the error is obtained through a subsequent Monte Carlo simulation based on the derived error propagation model. The proposed analysis method is then validated through data simulation and field tests. The results indicate that a 1 mm accuracy in measuring the track irregularity is achievable for the GNSS/INS integrated system. Meanwhile, the influences of the dominant inertial sensor errors on the final measurement accuracy are analyzed quantitatively and discussed comprehensively.Qijin ChenQuan ZhangXiaoji NiuJingnan LiuSpringerOpenarticleInertial surveyingRelative measurement accuracyError propagation modelingSteady-state Kalman filterPrecise engineering surveyingTechnology (General)T1-995ENSatellite Navigation, Vol 2, Iss 1, Pp 1-16 (2021)
institution DOAJ
collection DOAJ
language EN
topic Inertial surveying
Relative measurement accuracy
Error propagation modeling
Steady-state Kalman filter
Precise engineering surveying
Technology (General)
T1-995
spellingShingle Inertial surveying
Relative measurement accuracy
Error propagation modeling
Steady-state Kalman filter
Precise engineering surveying
Technology (General)
T1-995
Qijin Chen
Quan Zhang
Xiaoji Niu
Jingnan Liu
Semi-analytical assessment of the relative accuracy of the GNSS/INS in railway track irregularity measurements
description Abstract An aided Inertial Navigation System (INS) is increasingly exploited in precise engineering surveying, such as railway track irregularity measurement, where a high relative measurement accuracy rather than absolute accuracy is emphasized. However, how to evaluate the relative measurement accuracy of the aided INS has rarely been studied. We address this problem with a semi-analytical method to analyze the relative measurement error propagation of the Global Navigation Satellite System (GNSS) and INS integrated system, specifically for the railway track irregularity measurement application. The GNSS/INS integration in this application is simplified as a linear time-invariant stochastic system driven only by white Gaussian noise, and an analytical solution for the navigation errors in the Laplace domain is obtained by analyzing the resulting steady-state Kalman filter. Then, a time series of the error is obtained through a subsequent Monte Carlo simulation based on the derived error propagation model. The proposed analysis method is then validated through data simulation and field tests. The results indicate that a 1 mm accuracy in measuring the track irregularity is achievable for the GNSS/INS integrated system. Meanwhile, the influences of the dominant inertial sensor errors on the final measurement accuracy are analyzed quantitatively and discussed comprehensively.
format article
author Qijin Chen
Quan Zhang
Xiaoji Niu
Jingnan Liu
author_facet Qijin Chen
Quan Zhang
Xiaoji Niu
Jingnan Liu
author_sort Qijin Chen
title Semi-analytical assessment of the relative accuracy of the GNSS/INS in railway track irregularity measurements
title_short Semi-analytical assessment of the relative accuracy of the GNSS/INS in railway track irregularity measurements
title_full Semi-analytical assessment of the relative accuracy of the GNSS/INS in railway track irregularity measurements
title_fullStr Semi-analytical assessment of the relative accuracy of the GNSS/INS in railway track irregularity measurements
title_full_unstemmed Semi-analytical assessment of the relative accuracy of the GNSS/INS in railway track irregularity measurements
title_sort semi-analytical assessment of the relative accuracy of the gnss/ins in railway track irregularity measurements
publisher SpringerOpen
publishDate 2021
url https://doaj.org/article/a738e31d6134491eaaaa5bed9d6a3fcc
work_keys_str_mv AT qijinchen semianalyticalassessmentoftherelativeaccuracyofthegnssinsinrailwaytrackirregularitymeasurements
AT quanzhang semianalyticalassessmentoftherelativeaccuracyofthegnssinsinrailwaytrackirregularitymeasurements
AT xiaojiniu semianalyticalassessmentoftherelativeaccuracyofthegnssinsinrailwaytrackirregularitymeasurements
AT jingnanliu semianalyticalassessmentoftherelativeaccuracyofthegnssinsinrailwaytrackirregularitymeasurements
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