Performance Trades for Multiantenna GNSS Multisensor Attitude Determination Systems
We present various performance trades for multiantenna global navigation satellite system (GNSS) multisensor attitude estimation systems. In particular, attitude estimation performance sensitivity to various error sources and system configurations is assessed. This study is motivated by the need for...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2018/4871239 |
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| author | Nathan A. Tehrani Jason N. Gross |
| author_facet | Nathan A. Tehrani Jason N. Gross |
| author_sort | Nathan A. Tehrani |
| collection | DOAJ |
| description | We present various performance trades for multiantenna global navigation satellite system (GNSS) multisensor attitude estimation systems. In particular, attitude estimation performance sensitivity to various error sources and system configurations is assessed. This study is motivated by the need for system designers, scientists, and engineers of airborne astronomical and remote sensing platforms to better determine which system configuration is most suitable for their specific application. In order to assess performance trade-offs, the attitude estimation performance of various approaches is tested using a simulation that is based on a stratospheric balloon platform. For GNSS errors, attention is focused on multipath, receiver measurement noise, and carrier-phase breaks. For the remaining attitude sensors, different performance grades of sensors are assessed. Through a Monte Carlo simulation, it is shown that, under typical conditions, sub-0.1-degree attitude accuracy is available when using multiple antenna GNSS data only, but that this accuracy can degrade to degree level in some environments warranting the inclusion of additional attitude sensors to maintain the desired level of accuracy. Further, we show that integrating inertial sensors is more valuable whenever accurate pitch and roll estimates are critical. |
| format | Article |
| id | doaj-art-6f791a5801cf4e6bb2d40ef65b2d2780 |
| institution | Kabale University |
| issn | 1687-5966 1687-5974 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-6f791a5801cf4e6bb2d40ef65b2d27802025-02-03T05:51:42ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742018-01-01201810.1155/2018/48712394871239Performance Trades for Multiantenna GNSS Multisensor Attitude Determination SystemsNathan A. Tehrani0Jason N. Gross1Department of Mechanical and Aerospace Engineering, West Virginia University, Morgantown, WV, USADepartment of Mechanical and Aerospace Engineering, West Virginia University, Morgantown, WV, USAWe present various performance trades for multiantenna global navigation satellite system (GNSS) multisensor attitude estimation systems. In particular, attitude estimation performance sensitivity to various error sources and system configurations is assessed. This study is motivated by the need for system designers, scientists, and engineers of airborne astronomical and remote sensing platforms to better determine which system configuration is most suitable for their specific application. In order to assess performance trade-offs, the attitude estimation performance of various approaches is tested using a simulation that is based on a stratospheric balloon platform. For GNSS errors, attention is focused on multipath, receiver measurement noise, and carrier-phase breaks. For the remaining attitude sensors, different performance grades of sensors are assessed. Through a Monte Carlo simulation, it is shown that, under typical conditions, sub-0.1-degree attitude accuracy is available when using multiple antenna GNSS data only, but that this accuracy can degrade to degree level in some environments warranting the inclusion of additional attitude sensors to maintain the desired level of accuracy. Further, we show that integrating inertial sensors is more valuable whenever accurate pitch and roll estimates are critical.http://dx.doi.org/10.1155/2018/4871239 |
| spellingShingle | Nathan A. Tehrani Jason N. Gross Performance Trades for Multiantenna GNSS Multisensor Attitude Determination Systems International Journal of Aerospace Engineering |
| title | Performance Trades for Multiantenna GNSS Multisensor Attitude Determination Systems |
| title_full | Performance Trades for Multiantenna GNSS Multisensor Attitude Determination Systems |
| title_fullStr | Performance Trades for Multiantenna GNSS Multisensor Attitude Determination Systems |
| title_full_unstemmed | Performance Trades for Multiantenna GNSS Multisensor Attitude Determination Systems |
| title_short | Performance Trades for Multiantenna GNSS Multisensor Attitude Determination Systems |
| title_sort | performance trades for multiantenna gnss multisensor attitude determination systems |
| url | http://dx.doi.org/10.1155/2018/4871239 |
| work_keys_str_mv | AT nathanatehrani performancetradesformultiantennagnssmultisensorattitudedeterminationsystems AT jasonngross performancetradesformultiantennagnssmultisensorattitudedeterminationsystems |