Performance Comparison between a Dynamic-Free Navigation Filter andthe Carrier Smoothing Algorithm

Alfredo Quiles-Blanco, Manuel Martin-Neira

Abstract:	This paper present the results obtained from the simula-tion of a navigation algorithm that uses a Kalman filter to combine both the code-phase and the carrier-phase meas-urements. The essential feature of this algorithm is that it directly calculates the user’s change of position using the carrier phase measurements, instead of estimating the dy-namics of the user (velocity and acceleration). This is the reason why the algorithm was called Dynamic-Free Posi-tioning Filter (DFPF). The algorithm was implemented in Matlab code, and a number of software simulations were carried out to assess its performance, comparing the results with those ob-tained from a similar implementation of the widely known Carrier Smoothing algorithm. The scenarios simulated include sudden cycle slips and Dilution of Pre-cision (DOP) increments due to changes of available in-view satellites, as well as tests in presence of ionospheric delay. It is shown that the DFPF surpasses the perform-ance of the Carrier Smoothing algorithm in critical issues as convergence time and robustness against DOP incre-ments or cycle slips. These parameters are of paramount importance for civil aviation, in particular in the final ap-proach phase where too long accuracy outages are not ac-ceptable.
Published in:	Proceedings of the 12th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 1999) September 14 - 17, 1999 Nashville, TN
Pages:	1597 - 1608
Cite this article:	Quiles-Blanco, Alfredo, Martin-Neira, Manuel, "Performance Comparison between a Dynamic-Free Navigation Filter andthe Carrier Smoothing Algorithm," Proceedings of the 12th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 1999), Nashville, TN, September 1999, pp. 1597-1608.
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