Robust Post-Processing for Marine GNSS/INS Integration: An Adaptive RTS Smoothing Approach via Huber M-Estimation.

Zhao S, Sun P, Yang J, Yin Z

DOI: 10.3390/s26134107
Published: 2026 Jun 28
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s26134107,
  title = {Robust Post-Processing for Marine GNSS/INS Integration: An Adaptive RTS Smoothing Approach via Huber M-Estimation.},
  author = {Zhao S and Sun P and Yang J and Yin Z},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26134107},
  url = {https://doi.org/10.3390/s26134107}
}

RIS

TY  - JOUR
TI  - Robust Post-Processing for Marine GNSS/INS Integration: An Adaptive RTS Smoothing Approach via Huber M-Estimation.
AU  - Zhao S
AU  - Sun P
AU  - Yang J
AU  - Yin Z
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26134107
UR  - https://doi.org/10.3390/s26134107
ER  -

APA

S, Z., P, S., J, Y., & Z, Y. (2026). Robust Post-Processing for Marine GNSS/INS Integration: An Adaptive RTS Smoothing Approach via Huber M-Estimation.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26134107

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pubmed · retrieved 2026-09-25T06:15:09.744Z