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Performance comparison of composite clock estimates for two types of models

Abdellatif, Akram Amin and Süß, Matthias (2012) Performance comparison of composite clock estimates for two types of models. IFCS 2012, 2012-05-21 - 2012-05-24, Balitmore, MD. doi: 10.1109/FCS.2012.6243696.

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The paper compares the impact of two type of clock models onto the stability of the estimates and its time offset prediction error. The two types of clock models are the classical three state model and one which is extended by additional Markov states. The extension has got the capability to model Flicker noise which is dominant for averaging times longer than 1 day for different clock types, eg. Cesium clock. The performance of both models is compared by simulating a typical laboratory assemble consisting of two Active Hydrogen Masers (AHM) and three Cesium clocks. In particular, the prediction performance to time intervals up to two weeks is addressed since this is of relevance for UTC applications.

Item URL in elib:https://elib.dlr.de/77113/
Document Type:Conference or Workshop Item (Poster)
Title:Performance comparison of composite clock estimates for two types of models
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:composite clock, kalman filter, flicker noise, clock noise, clock offset, time offset, estimates, performance
Event Title:IFCS 2012
Event Location:Balitmore, MD
Event Type:international Conference
Event Start Date:21 May 2012
Event End Date:24 May 2012
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 - Vorhaben GNSS2/Neue Dienste und Produkte (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Navigation
Deposited By: Süß, Matthias
Deposited On:19 Sep 2012 10:02
Last Modified:24 Apr 2024 19:43

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