GLONASS Ambiguity Resolution
-- by P.J.G. Teunissen and A. Khodabandeh
The technical paper which describes this code is published in GPS Solutions (2019) 23:101, and online at:
https://link.springer.com/article/10.1007/s10291-019-0890-7
"GLONASS Ambiguity Resolution" by
P.J.G. Teunissen (1,2) and
A. Khodabandeh (3)
1. GNSS Research Centre, Curtin University of Technology,
Perth, Australia
2. Department of Geoscience and Remote Sensing, Delft Univer-
sity of Technology, Delft, The Netherlands
3. Department of Infrastructure Engineering, The University of Melbourne,
Melbourne, Australia
Abstract:
A new integer-estimable GLONASS FDMA
model will be studied and analyzed. The model is generally
applicable and it shows a close resemblance with
the well-known CDMA models. The analyses provide
insights into the performance characteristics of the model
and concern a variety of different ambiguity resolution
critical applications. This will be done for geometry-free,
geometry-fixed and several geometry-based formulations.
Next to the analyses of the model's instantaneous
ambiguity-resolved positioning and attitude determination
capabilities, we show the ease with which
the model can be combined with existing CDMA models.
We thereby present the instantaneous ambiguity resolution
performances of integrated L1 GPS+GLONASS,
both for high-grade geodetic and mass-market receivers.
We also consider the potential of the single-frequency
combined model for mixed-receiver processing,
particularly for the case the between-receiver GLONASS
pseudorange data are biased. In all cases, the
speed of successful ambiguity resolution is studied as
well as the precision with which positioning is determined.
Software routines for constructing the model are
also provided.
The MATLAB code (which includes a numerical example), and the license agreement, are contained in this zip file:
Zip file with MATLAB code and license agreement (GLONASS_L.zip)
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