Multi-Constellation Fast Acquisition Through Utilization of Orbit Predictions and Positioning Data

Nesreen I. Ziedan

Peer Reviewed

Abstract:	This paper presents a novel fast acquisition algorithm for multi-constellation receivers. The algorithm is called multi-constellation Fast Acquisition (MCFA). The MCFA algorithm assumes that signals from one constellation are acquired and an initial receiver position is estimated. The algorithm uses the estimated receiver position to predict the visible satellites, of the other constellations, and their inorbit positions. The estimated and predicted data are utilized to build a novel two-level search range, with an optimized size. The search range distinguishes between two types of errors in the predicted code delays and Doppler shifts: joint errors, which result from errors in the estimated receiver position and clock bias; and distinct errors, which result from errors in the individual satellite positions. The MCFA algorithms works in the position domain to estimate the code delays and Doppler shifts of the visible satellites, and update the estimates of the user position and the predicted satellites positions. Furthermore, the MCFA algorithm is designed to handle large errors in the estimated receiver position and the predicted satellites positions. Where, a method is introduced to handle the uncertainty in the positions and find their best estimates. Experimental tests are conducted using the GPS C/A signals to verify the performance of the proposed MCFA algorithm.
Published in:	Proceedings of the 28th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2015) September 14 - 18, 2015 Tampa Convention Center Tampa, Florida
Pages:	3702 - 3720
Cite this article:	Ziedan, Nesreen I., "Multi-Constellation Fast Acquisition Through Utilization of Orbit Predictions and Positioning Data," Proceedings of the 28th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2015), Tampa, Florida, September 2015, pp. 3702-3720.
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