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On Robust Statistics for GNSS Single Point Positioning

Medina, Daniel and Li, Haoqing and Vilà-Valls, Jordi and Closas, Pau (2019) On Robust Statistics for GNSS Single Point Positioning. In: 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019. Intelligent Transportation Systems Conference ITSC 2019, 2019-10-27 - 2019-10-30, Auckland, New Zealand. doi: 10.1109/ITSC.2019.8917484. ISBN 978-153867024-8.

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Navigation problems are generally solved applying least-squares (LS) adjustments. Techniques based on LS can be shown to perform optimally when the system noise is Gaussian distributed and the parametric model is accurately known. Unfortunately, real world problems usually contain unexpectedly large errors, so-called outliers, that violate the noise model assumption, leading to a spoiled solution estimation. In this work, the framework of robust statistics is explored in order to provide a robust solution to the Global Navigation Satellite Systems (GNSS) single point positioning (SPP) problem. Considering that GNSS observables may be contaminated by erroneous measurements, we survey most popular approaches for robust regression and how they can be adapted into a general methodology for robust SPP.

Item URL in elib:https://elib.dlr.de/128082/
Document Type:Conference or Workshop Item (Lecture)
Title:On Robust Statistics for GNSS Single Point Positioning
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Medina, DanielUNSPECIFIEDhttps://orcid.org/0000-0002-1586-3269UNSPECIFIED
Li, HaoqingNortheastern UniversityUNSPECIFIEDUNSPECIFIED
Closas, PauUNSPECIFIEDhttps://orcid.org/0000-0002-5960-6600UNSPECIFIED
Date:October 2019
Journal or Publication Title:2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:GNSS; Robust Statistics; Least Squares
Event Title:Intelligent Transportation Systems Conference ITSC 2019
Event Location:Auckland, New Zealand
Event Type:international Conference
Event Start Date:27 October 2019
Event End Date:30 October 2019
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Communication and Navigation
DLR - Research area:Raumfahrt
DLR - Program:R KN - Kommunikation und Navigation
DLR - Research theme (Project):R - Project Navigation 4.0 (old)
Location: Neustrelitz
Institutes and Institutions:Institute of Communication and Navigation > Nautical Systems
Deposited By: Medina, Daniel
Deposited On:25 Jun 2019 13:27
Last Modified:07 Jun 2024 11:07

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