|Abstract:||Precise Point Positioning (PPP) techniques are basically one approach to achieve sub-meter level positioning accuracy by using carrier-phase observables without baseline vector analysis from reference stations. The object of our research is to show the advantages of Very Precise Point Positioning (VPPP) which utilizes the double difference (DD) observables and the geometrical distance constraints among multiple antennas. Simultaneously we propose Euler angle estimation methods based on the antennas’ baseline vectors for GNSS Gyro. In this paper, the DD-based observables of the single frequency GNSS rover receivers are only used to cancel or correct the positioning error sources, e.g. ionospheric signal delays. The Minimum Mean Square (MMS) estimation method by the constraints are applied for every epoch in conjunction with Kalman filtering algorithms for recursive estimation of all unknown antennas’ positions and integer ambiguity. Finally we show the results of 50cm level positioning and the improvement ratio by our proposed method in a static case.|
Proceedings of the 2017 International Technical Meeting of The Institute of Navigation
January 30 - 2, 2017
Hyatt Regency Monterey
|Pages:||474 - 491|
|Cite this article:||
Mouri, A., Okuda, G., Kubo, Y., Sugimoto, S., "Novel VPPP Algorithms with Multiple Antennas and Attitude Estimation," Proceedings of the 2017 International Technical Meeting of The Institute of Navigation, Monterey, California, January 2017, pp. 474-491.
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