Nonlinear Filtering in GNSS Pseudorange Dynamics Estimation Combining Code Delay and Carrier Phase
IEEE Journal on Selected Topics in Signal Processing Vol. 3, Nº 4, pp. 639 - 650, August, 2009.
ISSN (print): 1932-4553
Journal Impact Factor: 2,373 (in 2014)
Digital Object Identifier: 10.1109/JSTSP.2009.2024109
In Global Navigation Satellite System (GNSS) receivers,
code delay measurements yield unambiguous but noisy
pseudorange estimates. On the other hand, the pseudorange obtained with carrier phase measurements is almost noiseless, but is affected by an ambiguity term multiple of the carrier wavelength.
In this paper, we propose a structure for code and carrier phase
estimation and a novel technique to merge those estimates. The
overall architecture consists of 1) a bank of correlators, each one feeding an extended Kalman filter, 2) an interpolation algorithm to produce the best code delay and carrier phase estimates, and 3) a nonlinear filter that combines these estimates to reduce progressively the phase ambiguity, yielding precise pseudorange estimates in high dynamics scenarios and in the presence of weak signals.
The proposed approach is able to accommodate the majority of
the new GNSS signals (modernized GPS and Galileo), produces
smaller mean square errors than the conventional code/phase
merge technique (Hatch filter), is robust to transients that may
affect the phase estimation during the reception of weak signals,
and is free from false code-locks.