지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
The navigation algorithm developed based on the extended Kalman filter (EKF) sometimes diverges when the linearity between the measurements and the states is not preserved. In this study, new update conditions together with two conditions from previous study for gravity gradient referenced navigation (GGRN) were deduced for the filter performance. Also, the effect of each update conditions was evaluated imposing the various magnitudes of the database (DB) and the sensor errors. In case the DB and the sensor errors were supposed to 0.1 Eo and 0.01 Eo, the navigation performance was improved in the eight trajectories by using part of gravity gradient components that independently estimate states located within trust boundary. When applying only the components showing larger variation, around 200% of improvement was found. Even the DB and sensor error were supposed to 3 Eo, six update conditions improved performance in at least seven trajectories. More than five trajectories generated better results with 5 Eo error of the DB and the sensor. Especially, two update conditions successfully control divergence, and bounded the navigation error to the 1/10 level. However, these update conditions could not be generalized for all trajectories so that it is recommended to apply update conditions at the stage of planning, or as an index of precision of GGRN when combine with various types of geophysical data and algorithm.
목차
Abstract
1. Introduction
2. Update Conditions
3. Simulation Results
4. Conclusion
References
참고문헌 (7)
참고문헌 신청
[학위논문] - DeGregoria, A. / 2010 / Gravity Gradiometry and Map Matching: An Aid to Aircraft Inertial Navigation Systems / 석사 / Graduate School of Engineering and Management, Air Force Institute of Technology
[학술지(정기간행물)] - 이지선 / 2014 / Performance Analysis of a Gravity Gradient Referenced Navigation System / 한국측량학회지 32 (3) : 271 ~ 279
[학술지(정기간행물)] - Li, D. / 1996 / On the selection criterion for a terrain matching field / Journal-Huazhong University of Science and Technology Chinese Edition 24 : 7 ~ 8
[학술대회논문] - Liu, F. / 2010 / A computer simulation of the influence of GGI and inertial sensors on gravity gradient aided navigation / Proceedings of 2010 International Symposium on Systems and Control in Aeronautics and Astronautics : 793 ~ 797
[학위논문] - Richeson, J. A. / 2008 / Gravity Gradiometer Aided Inertial Navigation Within Non-GNSS Environments / 박사 / University of Maryland
[학술지(정기간행물)] - 이지선 / 2014 / Performance Analysis of a Gravity Gradient Referenced Navigation System / 한국측량학회지 32 (3) : 271 ~ 279
[학술지(정기간행물)] - Li, D. / 1996 / On the selection criterion for a terrain matching field / Journal-Huazhong University of Science and Technology Chinese Edition 24 : 7 ~ 8
[학술대회논문] - Liu, F. / 2010 / A computer simulation of the influence of GGI and inertial sensors on gravity gradient aided navigation / Proceedings of 2010 International Symposium on Systems and Control in Aeronautics and Astronautics : 793 ~ 797
[학위논문] - Richeson, J. A. / 2008 / Gravity Gradiometer Aided Inertial Navigation Within Non-GNSS Environments / 박사 / University of Maryland
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UCI(KEPA) : I410-ECN-0101-2016-533-002232396