TR2023-083

Adaptive Smoothing with Ambiguity Fixation for GNSS Post-Processing

    •  Greiff, M., Berntorp, K., Di Cairano, S., "Adaptive Smoothing with Ambiguity Fixation for GNSS Post-Processing", World Congress of the International Federation of Automatic Control (IFAC), Hideaki Ishii, Yoshio Ebihara, Jun-ichi Imura, Masaki Yamakita, Eds., DOI: 10.1016/​j.ifacol.2023.10.911, July 2023, pp. 10276-10282.
      BibTeX TR2023-083 PDF
      • @inproceedings{Greiff2023jul,
      • author = {Greiff, Marcus and Berntorp, Karl and Di Cairano, Stefano},
      • title = {Adaptive Smoothing with Ambiguity Fixation for GNSS Post-Processing},
      • booktitle = {World Congress of the International Federation of Automatic Control (IFAC)},
      • year = 2023,
      • editor = {Hideaki Ishii, Yoshio Ebihara, Jun-ichi Imura, Masaki Yamakita},
      • pages = {10276--10282},
      • month = jul,
      • publisher = {Elsevier},
      • doi = {10.1016/j.ifacol.2023.10.911},
      • issn = {2405-8963},
      • url = {https://www.merl.com/publications/TR2023-083}
      • }
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  • Research Areas:

    Control, Dynamical Systems, Optimization, Signal Processing

Abstract:

We propose a complete post-processing solution for GNSS (global navigation satellite system) positioning leveraging linear-regression Kalman filtering methods, employed in a Rauch- Tung-Striebel (RTS) smoothing context, and adapting the model parameters in an expectation maximization (EM) framework. In particular, we (i) discuss the effects of using different moment approximations in the smoother; (ii) demonstrate that it is advantageous to fixate the integer ambiguities on the smoothing posterior; and (iii) show that the proposed method is viable for a wide range of GNSS measurement models, including single difference, double difference, and ionosphere-free combinations of the multi-band GNSS observations.

 

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