Instantaneous Ambiguity Resolved GLONASS FDMA Attitude Determination

G1 – Geodetic Theory and Algorithms --- G1.3 High-precision GNSS: methods, open problems and Geoscience applications

PJG Teunissen1,2, A. Khodabandeh3, S. Zaminpardaz4

1GNSS Research Centre, Curtin University, Perth, Australia2Geoscience and Remote Sensing, Delft University ofTechnology, The Netherlands3University of Melbourne, Melbourne, Australia4RMIT University, Melbourne, Australia

EXAMPLE

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Instantaneous Integer-Fixed GLONASS Positioning

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Single-frequency, Single-System, GPS Single-Epoch positioning

(Perth, Australia):

JAVAD TRE-G3T DELTA receivers and Trimble TRM59800.00 antennae

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Single-frequency, Dual-System, Single-Epoch positioning

(Perth, Australia):

JAVAD TRE-G3T DELTA receivers and Trimble TRM59800.00 antennae

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Single-frequency, Dual-System, Low-Cost, Single-Epoch positioning (Dunedin, New Zealand):

U-blox ZED F9P receivers and Trimble Zephyr 2 antennae

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Mixed-receivers GLONASS Phase-only IAR: Trimble NetR9 and U-blox M8T

(Delft, The Netherlands)

The GNSS Compass Model for Direction-Finding

Solved with C-LAMBDA method(Teunissen, 2010)

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GLONASS single-frequency, single-epoch direction finding

Grey: ambiguity float solutionRed: wrong integer fixesGreen: correct integer fixes

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GLONASS single-frequency, single-epoch direction finding

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GLONASS single-frequency, single-epoch direction finding

Grey: ambiguity float solutionRed: wrong integer fixesGreen: correct integer fixes

Conclusions:

With the above performance studies, we have only presented a few of the many possible applications of the new GLONASS FDMA model (1).

Many more can be considered, such as those for long baselines, network-RTK, PPP-RTK and even for the direct combination of current GLONASS FDMA with its near-future GLONASS CDMA that is currently under development.

We therefore believe that the flexibility of the model and its close resemblance to CDMA models open up a whole variety of carrier-phase-based GNSS applications that have hitherto been a challenge for GLONASS ambiguity resolution.

1717IUGG General Assembly, 8-18 July, 2019, Montreal, Canada

Selected References

- Teunissen P.J.G. (2010): Integer least-squares theory for the GNSS compass. J Geod (2010) 84:433–447

- Giorgi et al. (2010): Testing a new multivariate GNSS carrier phase attitude determination method forremote sensing platforms.

- Giorgi et al. (2012): Instantaneous Ambiguity Resolution in Global-Navigation-Satellite-System-BasedAttitude Determination Applications: A Multivariate Constrained Approach. JOURNAL OF GUIDANCE,CONTROL, AND DYNAMICS Vol. 35, No. 1, January–February 2012

- Teunissen P.J.G. (2019): A New GLONASS FDMA Model. GPS Solutions, doi:10.1007/s10291-019-0889-0

- Teunissen P.J.G., Khodabandeh A. (2019): GLONASS Ambiguity Resolution. GPS Solutions,doi:10.1007/s10291-019-0890-7