Robust Nonlinear GNSS Navigation Under Heavy-Tailed Measurement Noise Using a Cauchy-Kernel Correntropy Extended Kalman Filter
- DOI
- 10.1109/access.2026.3712485
- Published
- 2026
- Container
- IEEE Access
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/access.2026.3712485,
title = {Robust Nonlinear GNSS Navigation Under Heavy-Tailed Measurement Noise Using a Cauchy-Kernel Correntropy Extended Kalman Filter},
author = {Dah-Jing Jwo and Abdirisak Daud Abdi and Yi Chang},
year = {2026},
journal = {IEEE Access},
doi = {10.1109/access.2026.3712485},
url = {https://doi.org/10.1109/access.2026.3712485}
}RIS
TY - JOUR TI - Robust Nonlinear GNSS Navigation Under Heavy-Tailed Measurement Noise Using a Cauchy-Kernel Correntropy Extended Kalman Filter AU - Dah-Jing Jwo AU - Abdirisak Daud Abdi AU - Yi Chang PY - 2026 JO - IEEE Access DO - 10.1109/access.2026.3712485 UR - https://doi.org/10.1109/access.2026.3712485 ER -
APA
Jwo, D., Abdi, A. D., & Chang, Y. (2026). Robust Nonlinear GNSS Navigation Under Heavy-Tailed Measurement Noise Using a Cauchy-Kernel Correntropy Extended Kalman Filter. IEEE Access. https://doi.org/10.1109/access.2026.3712485
Source records
- crossref · retrieved 2026-11-10T09:27:00.673Z