Standalone Real-Time Positioning Algorithm Based on Dynamic Ambiguities (DARTS)

A. Simsky

Abstract:	This paper presents an original navigation algorithm intended to push the accuracy of standalone positioning beyond the limitations imposed by GPS system biases (errors of broadcast orbits and clocks). The proposed algorithm is based on the processing of iono-free carrier-phase combination with floating ambiguities by the Kalman filter. Unlike traditional phase processing, ambiguities are essentially modeled as dynamic values intended to absorb long-term range errors, of which GPS system biases are the most essential. The model, which describes the behavior of ambiguities, has been optimized using both experimental and simulated data sets. The acronym DARTS reads as Dynamic Ambiguities Real-Time Standalone. The accuracy of DARTS is close to typical accuracies of code-based DGPS. Standard deviations for position are within the range of 1.0-1.3m for heights, and 0.6-0.8 m for horizontal coordinates. This level of accuracy has been proven for a variety of applications. DARTS has been designed having in mind its application in GNSS receivers. Its implementation for the new firmware version of Septentrio's GNSS receiver, PolaRx2, is currently underway.
Published in:	Proceedings of the 16th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS/GNSS 2003) September 9 - 12, 2003 Oregon Convention Center Portland, OR
Pages:	1211 - 1221
Cite this article:	Simsky, A., "Standalone Real-Time Positioning Algorithm Based on Dynamic Ambiguities (DARTS)," Proceedings of the 16th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS/GNSS 2003), Portland, OR, September 2003, pp. 1211-1221.
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