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

Shengya Zhao, Pengfei Sun, Jichao Yang, Zhihui Yin

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DOI: 10.3390/s26134107
Published: 2026-06-28
Container: Sensors
Publisher: MDPI AG
Open access: unknown

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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 = {Shengya Zhao and Pengfei Sun and Jichao Yang and Zhihui Yin},
  year = {2026},
  journal = {Sensors},
  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  - Shengya Zhao
AU  - Pengfei Sun
AU  - Jichao Yang
AU  - Zhihui Yin
PY  - 2026
JO  - Sensors
DO  - 10.3390/s26134107
UR  - https://doi.org/10.3390/s26134107
ER  -

APA

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

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crossref · retrieved 2026-11-09T17:35:03.985Z