Robust Statistics for GNSS Positioning under Harsh Conditions: A Useful Tool? - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Daniel Medina, Haoqing Li, Jordi Vilà-Valls, Pau Closas. Robust Statistics for GNSS Positioning under Harsh Conditions: A Useful Tool?. Sensors, 19(24):5402, 2019. [doi]

The following publications are possibly variants of this publication:

On Robust Statistics for GNSS Single Point PositioningDaniel Medina, Haoqing Li, Jordi Vilà-Valls, Pau Closas. itsc 2019: 3281-3287 [doi]

An interactive multiple model approach for robust GNSS carrier phase tracking under scintillation conditionsJordi Vilà-Valls, José A. Lopez-Salcedo, Gonzalo Seco-Granados. icassp 2013: 6392-6396 [doi]

Robust TOA-Based UAS Navigation under Model Mismatch in GNSS-Denied Harsh EnvironmentsJan Mortier, Gaël Pagès, Jordi Vilà-Valls. remotesensing, 12(18):2928, 2020. [doi]

Test and Evaluation of GNSS-based Railway Train Positioning under Jamming ConditionsJiang Liu 0007, Jian-cong Li, Bai-gen Cai, Jian Wang. SMC 2020: 1459-1464 [doi]

Switching position and range-domain carrier-smoothing-code filtering for GNSS positioning in harsh environments with intermittent satellite deficienciesGuobin Chang, Tianhe Xu, Chao Chen, Bing Ji, Shengquan Li. jfi, 356(9):4928-4947, 2019. [doi]

runs on WebDSL