Robust Kalman Filter Aided GEO/IGSO/GPS Raw-PPP/INS Tight Integration.

Gao Z, Li Y, Zhuang Y, Yang H, Pan Y, Zhang H

DOI: 10.3390/s19020417
Published: 2019 Jan 21
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s19020417,
  title = {Robust Kalman Filter Aided GEO/IGSO/GPS Raw-PPP/INS Tight Integration.},
  author = {Gao Z and Li Y and Zhuang Y and Yang H and Pan Y and Zhang H},
  year = {2019},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s19020417},
  url = {https://doi.org/10.3390/s19020417}
}

RIS

TY  - JOUR
TI  - Robust Kalman Filter Aided GEO/IGSO/GPS Raw-PPP/INS Tight Integration.
AU  - Gao Z
AU  - Li Y
AU  - Zhuang Y
AU  - Yang H
AU  - Pan Y
AU  - Zhang H
PY  - 2019
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s19020417
UR  - https://doi.org/10.3390/s19020417
ER  -

APA

Z, G., Y, L., Y, Z., H, Y., Y, P., & H, Z. (2019). Robust Kalman Filter Aided GEO/IGSO/GPS Raw-PPP/INS Tight Integration.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s19020417

Source records

pubmed · retrieved 2026-09-24T20:09:13.089Z