Evaluation of the optimal design ""cosinor model"" for enhancing the potential of robotic theodolite kinematic observations

Zarikas, V; Gikas, V; Kitsos, CP

dc.contributor.author	Zarikas, V	en
dc.contributor.author	Gikas, V	en
dc.contributor.author	Kitsos, CP	en
dc.date.accessioned	2014-03-01T01:33:27Z
dc.date.available	2014-03-01T01:33:27Z
dc.date.issued	2010	en
dc.identifier.issn	0263-2241	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/20422
dc.subject	Amplitude	en
dc.subject	c-optimal design	en
dc.subject	D-optimal design	en
dc.subject	Engineering geodesy	en
dc.subject	Oscillation frequency	en
dc.subject	Robotic Total Station	en
dc.subject.classification	Engineering, Multidisciplinary	en
dc.subject.classification	Instruments & Instrumentation	en
dc.subject.other	Amplitude	en
dc.subject.other	D-optimal designs	en
dc.subject.other	Engineering geodesy	en
dc.subject.other	Optimal design	en
dc.subject.other	Oscillation frequency	en
dc.subject.other	Robotic Total Station	en
dc.subject.other	Data processing	en
dc.subject.other	Geodesy	en
dc.subject.other	Kinematics	en
dc.subject.other	Measurement theory	en
dc.subject.other	Optimal systems	en
dc.subject.other	Optimization	en
dc.subject.other	Robotics	en
dc.subject.other	Robots	en
dc.subject.other	Surveying	en
dc.subject.other	Design	en
dc.title	Evaluation of the optimal design ""cosinor model"" for enhancing the potential of robotic theodolite kinematic observations	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.measurement.2010.08.006	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.measurement.2010.08.006	en
heal.language	English	en
heal.publicationDate	2010	en
heal.abstract	The aim of the present work is to assess and to demonstrate the benefits of adopting optimal experimental design theory and techniques in order to enhance the potential of field data recorded using conventional geodetic instruments. More specifically, this research focuses on Robotic Total Stations (RTS) and in kinematic applications of geodetic positioning that exhibit a cyclic/periodic pattern of motion. The computational approach adopted follows from the principles of c- and D-optimal design criteria. Data processing involves computing the amplitude of motion in two ways; (a) using a sample of consecutively ordered data recordings and (b) using a sample respecting the optimal design criteria. Analysis, confirms the utility of the method resulting an improvement (i.e. a reduction) of the oscillation amplitude variance. This conclusion applies particularly at higher frequencies of oscillations (>1 Hz). This is important as at higher frequencies the performance of RTS deteriorates, and hence large variances occur. (C) 2010 Elsevier Ltd. All rights reserved.	en
heal.publisher	ELSEVIER SCI LTD	en
heal.journalName	Measurement: Journal of the International Measurement Confederation	en
dc.identifier.doi	10.1016/j.measurement.2010.08.006	en
dc.identifier.isi	ISI:000283904800013	en
dc.identifier.volume	43	en
dc.identifier.issue	10	en
dc.identifier.spage	1416	en
dc.identifier.epage	1424	en