Performance Evaluation and Requirements Assessment for Gravity Gradient Referenced Navigation
In this study, simulation tests for gravity gradient referenced navigation (GGRN) are conducted to verify the effects of various factors such as database (DB) and sensor errors, flight altitude, DB resolution, initial errors, and measurement update rates on the navigation performance. Based on the s...
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doaj-0436d1c1f0fe47de8e0fde3f936b6c632020-11-25T02:18:26ZengMDPI AGSensors1424-82202015-07-01157168331684710.3390/s150716833s150716833Performance Evaluation and Requirements Assessment for Gravity Gradient Referenced NavigationJisun Lee0Jay Hyoun Kwon1Myeongjong Yu2Department of Geoinformatics, University of Seoul, Seoul 130-743, KoreaDepartment of Geoinformatics, University of Seoul, Seoul 130-743, KoreaAgency for Defense Development, Daejeon 151-742, KoreaIn this study, simulation tests for gravity gradient referenced navigation (GGRN) are conducted to verify the effects of various factors such as database (DB) and sensor errors, flight altitude, DB resolution, initial errors, and measurement update rates on the navigation performance. Based on the simulation results, requirements for GGRN are established for position determination with certain target accuracies. It is found that DB and sensor errors and flight altitude have strong effects on the navigation performance. In particular, a DB and sensor with accuracies of 0.1 E and 0.01 E, respectively, are required to determine the position more accurately than or at a level similar to the navigation performance of terrain referenced navigation (TRN). In most cases, the horizontal position error of GGRN is less than 100 m. However, the navigation performance of GGRN is similar to or worse than that of a pure inertial navigation system when the DB and sensor errors are 3 E or 5 E each and the flight altitude is 3000 m. Considering that the accuracy of currently available gradiometers is about 3 E or 5 E, GGRN does not show much advantage over TRN at present. However, GGRN is expected to exhibit much better performance in the near future when accurate DBs and gravity gradiometer are available.http://www.mdpi.com/1424-8220/15/7/16833gravity gradientGGRNEKFrequirements analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jisun Lee Jay Hyoun Kwon Myeongjong Yu |
spellingShingle |
Jisun Lee Jay Hyoun Kwon Myeongjong Yu Performance Evaluation and Requirements Assessment for Gravity Gradient Referenced Navigation Sensors gravity gradient GGRN EKF requirements analysis |
author_facet |
Jisun Lee Jay Hyoun Kwon Myeongjong Yu |
author_sort |
Jisun Lee |
title |
Performance Evaluation and Requirements Assessment for Gravity Gradient Referenced Navigation |
title_short |
Performance Evaluation and Requirements Assessment for Gravity Gradient Referenced Navigation |
title_full |
Performance Evaluation and Requirements Assessment for Gravity Gradient Referenced Navigation |
title_fullStr |
Performance Evaluation and Requirements Assessment for Gravity Gradient Referenced Navigation |
title_full_unstemmed |
Performance Evaluation and Requirements Assessment for Gravity Gradient Referenced Navigation |
title_sort |
performance evaluation and requirements assessment for gravity gradient referenced navigation |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2015-07-01 |
description |
In this study, simulation tests for gravity gradient referenced navigation (GGRN) are conducted to verify the effects of various factors such as database (DB) and sensor errors, flight altitude, DB resolution, initial errors, and measurement update rates on the navigation performance. Based on the simulation results, requirements for GGRN are established for position determination with certain target accuracies. It is found that DB and sensor errors and flight altitude have strong effects on the navigation performance. In particular, a DB and sensor with accuracies of 0.1 E and 0.01 E, respectively, are required to determine the position more accurately than or at a level similar to the navigation performance of terrain referenced navigation (TRN). In most cases, the horizontal position error of GGRN is less than 100 m. However, the navigation performance of GGRN is similar to or worse than that of a pure inertial navigation system when the DB and sensor errors are 3 E or 5 E each and the flight altitude is 3000 m. Considering that the accuracy of currently available gradiometers is about 3 E or 5 E, GGRN does not show much advantage over TRN at present. However, GGRN is expected to exhibit much better performance in the near future when accurate DBs and gravity gradiometer are available. |
topic |
gravity gradient GGRN EKF requirements analysis |
url |
http://www.mdpi.com/1424-8220/15/7/16833 |
work_keys_str_mv |
AT jisunlee performanceevaluationandrequirementsassessmentforgravitygradientreferencednavigation AT jayhyounkwon performanceevaluationandrequirementsassessmentforgravitygradientreferencednavigation AT myeongjongyu performanceevaluationandrequirementsassessmentforgravitygradientreferencednavigation |
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