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Robust Kalman Filtering for RTK Positioning under Signal-Degraded Scenarios

Haoqing, Li and Medina, Daniel and Vilà-Valls, Jordi and Closas, Pau (2019) Robust Kalman Filtering for RTK Positioning under Signal-Degraded Scenarios. ION GNSS+, 16-20 Sep 2019, Miami, Florida US.

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Item URL in elib:https://elib.dlr.de/129053/
Document Type:Conference or Workshop Item (Speech)
Title:Robust Kalman Filtering for RTK Positioning under Signal-Degraded Scenarios
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Haoqing, Lili.haoq (at) husky.neu.eduUNSPECIFIED
Medina, DanielDaniel.AriasMedina (at) dlr.dehttps://orcid.org/0000-0002-1586-3269
Vilà-Valls, JordiJordi.VILA-VALLS (at) isae-supaero.frhttps://orcid.org/0000-0001-7858-4171
Closas, Paupau.closas (at) northeastern.eduhttps://orcid.org/0000-0002-5960-6600
Date:September 2019
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Accepted
Keywords:GNSS; RTK; Robust; Kalman Filter
Event Title:ION GNSS+
Event Location:Miami, Florida US
Event Type:international Conference
Event Dates:16-20 Sep 2019
Organizer:ION
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
Location: Neustrelitz
Institutes and Institutions:Institute of Communication and Navigation > Nautical Systems
Deposited By: Medina, Daniel
Deposited On:24 Sep 2019 15:39
Last Modified:24 Sep 2019 15:39

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