Investigating the Propagation Mechanism of Unmodelled Systematic Errors on Coordinate Time Series Estimated Using Least Squares

The propagation of unmodelled systematic errors into coordinate time series computed using least squares is addressed, to improve the understanding of unexplained signals and apparent noise in geodetic (especially GPS) coordinate time series. Such coordinate time series are invariably based on a fun...

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Main Authors: Stewart, Michael, Penna, N., Lichti, Derek
Format: Journal Article
Published: Springer - Verlag 2005
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/14915
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author Stewart, Michael
Penna, N.
Lichti, Derek
author_facet Stewart, Michael
Penna, N.
Lichti, Derek
author_sort Stewart, Michael
building Curtin Institutional Repository
collection Online Access
description The propagation of unmodelled systematic errors into coordinate time series computed using least squares is addressed, to improve the understanding of unexplained signals and apparent noise in geodetic (especially GPS) coordinate time series. Such coordinate time series are invariably based on a functional model linearised using only zero and first order terms of a (Taylor) series expansion about the approximate coordinates of the unknown point. The effect of such truncation errors is investigated through the derivation of a generalised systematic error model for the simple case of range observations from a single known reference point to a point which is assumed to be at rest by the least squares model but is in fact in motion.
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publishDate 2005
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spelling curtin-20.500.11937-149152017-09-13T16:01:59Z Investigating the Propagation Mechanism of Unmodelled Systematic Errors on Coordinate Time Series Estimated Using Least Squares Stewart, Michael Penna, N. Lichti, Derek coordinate time series systematic error least squares estimation periodic signals GPS The propagation of unmodelled systematic errors into coordinate time series computed using least squares is addressed, to improve the understanding of unexplained signals and apparent noise in geodetic (especially GPS) coordinate time series. Such coordinate time series are invariably based on a functional model linearised using only zero and first order terms of a (Taylor) series expansion about the approximate coordinates of the unknown point. The effect of such truncation errors is investigated through the derivation of a generalised systematic error model for the simple case of range observations from a single known reference point to a point which is assumed to be at rest by the least squares model but is in fact in motion. 2005 Journal Article http://hdl.handle.net/20.500.11937/14915 10.1007/s00190-005-0478-6 Springer - Verlag restricted
spellingShingle coordinate time series
systematic error
least squares estimation
periodic signals
GPS
Stewart, Michael
Penna, N.
Lichti, Derek
Investigating the Propagation Mechanism of Unmodelled Systematic Errors on Coordinate Time Series Estimated Using Least Squares
title Investigating the Propagation Mechanism of Unmodelled Systematic Errors on Coordinate Time Series Estimated Using Least Squares
title_full Investigating the Propagation Mechanism of Unmodelled Systematic Errors on Coordinate Time Series Estimated Using Least Squares
title_fullStr Investigating the Propagation Mechanism of Unmodelled Systematic Errors on Coordinate Time Series Estimated Using Least Squares
title_full_unstemmed Investigating the Propagation Mechanism of Unmodelled Systematic Errors on Coordinate Time Series Estimated Using Least Squares
title_short Investigating the Propagation Mechanism of Unmodelled Systematic Errors on Coordinate Time Series Estimated Using Least Squares
title_sort investigating the propagation mechanism of unmodelled systematic errors on coordinate time series estimated using least squares
topic coordinate time series
systematic error
least squares estimation
periodic signals
GPS
url http://hdl.handle.net/20.500.11937/14915