ESA-RTG2 - Low-cost GNSS for RTG-Autosteering - Phase 2

  • Koch, Daniel (Co-Investigator (CoI))

Project: Research project

Project Details


The project Low-cost GNSS for RTG-Autosteering Phase 2 is overtaken from the Technical University of Vienna. The main goal is the development of an adaptive Kalman filter to provide optimal position and movement determination of RTG in real-time. The positioning is done with single-frequency receivers. Additionally, the estimated trajectory is supported with a variance modeling based on the noise performance of the GPS signals. This modeling enables a robust relative position solution especially in kinematic applications. Modeling with respect to the crane dynamics is done adaptively by appropriate selection of the dynamic model. If necessary, a platform model is included to estimate azimuth. The automatic selection of respectively matching dynamic model is realized by the integration of an inexpensive acceleration sensor to the antenna. Furthermore, the integration of a terrain model can achieve a stabilization of the height component. The development and documentation of the system architecture for the positioning and navigation component, including any operation, integrity checking, testing and calibration is an integral part of the project. In addition counseling services are provided in the selection of commercially available hardware and software components as well as in selecting appropriate partners for the further development of the positioning software, and hardware integration.
Effective start/end date1/11/1231/07/13


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