most citedCauchy-Gaussian Overbound for Heavy-tailed GNSS Measurement Errors

4 citations · 4 across the 8 of their papers we have counts for

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eess.SP2026

Point-Supervised Visual Learning for GNSS Measurement Quality Assessment

Weiwei Zhai, Penggao Yan, Liang Wang +1

Multipath and non-line-of-sight (NLOS) propagation degrade global navigation satellite system (GNSS) positioning accuracy in urban environments. Although fisheye sky segmentation i…

eess.SP2026

Integrity and Credibility in Navigation: From Error Characterization to Operational Assuran

Penggao Yan, Baoshan Song, Yuan Li +2

Navigation integrity and estimator credibility use error and uncertainty information to address different questions. This perspective distinguishes actual positioning error from re…

eess.SP2026

CredibleDFGO: Differentiable Factor Graph Optimization with Credibility Supervision

Liang Qian, Penggao Yan, Penghui Xu +1

Global navigation satellite system (GNSS) positioning is widely used for urban navigation, but the covariance reported by the GNSS solver is often unreliable in urban canyons. Exis…

eess.SP2026

Improved GNSS Positioning in Urban Environments Using a Logistic Error Model

Zhengdao Li, Penggao Yan, Baoshan Song +1

A Gaussian error assumption is commonly adopted in the pseudorange measurement model for global navigation satellite system (GNSS) positioning, which leads to the conventional leas…

eess.SP2025

Credible Uncertainty Quantification under Noise and System Model Mismatch

Penggao Yan, Xingqun Zhan, Rui Sun +1

State estimators often provide self-assessed uncertainty metrics, such as covariance matrices, whose credibility is critical for downstream tasks. However, these self-assessments c…

eess.SP2025

Jackknife ARAIM: Efficient GNSS Integrity Monitoring for Simultaneous Faults under Non-Gaussian Errors

Penggao Yan, Ronghe Jin, Junyi Zhang +2

Legacy and advanced receiver autonomous integrity monitoring (RAIM/ARAIM) rely on Gaussian error models that can be overly conservative for real-world non-Gaussian errors. This pap…

eess.SP2025

An Efficient Detector for Faulty GNSS Measurements Detection With Non-Gaussian Noises

Penggao Yan, Baoshan Song, Xiao Xia +2

Fault detection is crucial to ensure the reliability of navigation systems. However, mainstream fault detection methods are developed based on Gaussian assumptions on nominal error…