Instantaneous GNSS attitude determination: A Monte Carlo sampling approach. (April 2017)
- Record Type:
- Journal Article
- Title:
- Instantaneous GNSS attitude determination: A Monte Carlo sampling approach. (April 2017)
- Main Title:
- Instantaneous GNSS attitude determination: A Monte Carlo sampling approach
- Authors:
- Sun, Xiucong
Han, Chao
Chen, Pei - Abstract:
- Abstract: A novel instantaneous GNSS ambiguity resolution approach which makes use of only single-frequency carrier phase measurements for ultra-short baseline attitude determination is proposed. The Monte Carlo sampling method is employed to obtain the probability density function of ambiguities from a quaternion-based GNSS-attitude model and the LAMBDA method strengthened with a screening mechanism is then utilized to fix the integer values. Experimental results show that 100% success rate could be achieved for ultra-short baselines. Highlights: The Monte Carlo method is used for instantaneous GNSS attitude determination. The method only uses single-frequency carrier phase measurements. 100% success rate of ambiguity resolution is achieved for ultra-short baselines.
- Is Part Of:
- Acta astronautica. Volume 133(2017)
- Journal:
- Acta astronautica
- Issue:
- Volume 133(2017)
- Issue Display:
- Volume 133, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 133
- Issue:
- 2017
- Issue Sort Value:
- 2017-0133-2017-0000
- Page Start:
- 24
- Page End:
- 29
- Publication Date:
- 2017-04
- Subjects:
- GNSS -- Attitude determination -- Ambiguity resolution -- Monte Carlo sampling -- LAMBDA
Astronautics -- Periodicals
Outer space -- Exploration -- Periodicals
Astronautics
Periodicals
629.405 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00945765 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.actaastro.2017.01.006 ↗
- Languages:
- English
- ISSNs:
- 0094-5765
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0596.750000
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British Library HMNTS - ELD Digital store - Ingest File:
- 518.xml