Large geodetic projects often require measurement configurations with multiple robotic total stations (RTSs). In order to combine the observables of the spatially separated RTSs, a common time frame has to be established. In this paper, we introduce a novel synchronization routine for relative, real-time synchronization of multiple RTSs. The proposed routine, consisting of two main steps, is independent of ambient conditions and requires no additional hardware. In the first part, we analyze the characteristics of the RTS's internal time at stable meteorological conditions by comparing it to the reference time established using a dedicated GNSS receiver. Referring to the findings, we propose a calibration procedure for the temperature calibration of the RTS's internal time. We determine the drift rate at different temperatures in dedicated experiments within a climate chamber and derive a calibration function from this data. In the second part, we apply the calibration function in practical measurements and show its applicability for selected RTSs at variable temperatures. As demonstrated in two experiments, the proposed drift compensation combined with a cross-correlation based initial time delay estimation (TDE), proves to be a reliable approach for the time synchronization of spatially separated RTSs. After the measurement duration of eight hours, the RTSs are synchronized within one sampling interval, i.e. better than 50 ms.
[1]
J. F. Werner,et al.
Crystal Oscillator Design and Temperature Compensation
,
1979
.
[2]
David L. Mills,et al.
Computer network time synchronization : the network time protocol on earth and in space
,
2006
.
[3]
Werner Vitus Stempfhuber.
Ein integritätswahrendes Messsystem für kinematische Anwendungen
,
2004
.
[4]
G. Carter,et al.
The generalized correlation method for estimation of time delay
,
1976
.
[5]
Werner Lienhart,et al.
Impact of Prism Type and Prism Orientation on the Accuracy of Automated Total Station Measurements
,
2016
.
[6]
Flaviu Cristian,et al.
Probabilistic clock synchronization
,
1989,
Distributed Computing.
[7]
Th. Wunderlich,et al.
Leica System 1200: Auf dem Weg zur Sensorsynchronisation von GPS und TPS für kinematische Meßaufgaben
,
2004
.
[8]
Werner Stempfhuber.
Verification of the Trimble Universal Total Station (UTS) Performance for Kinematic Applications
,
2009
.
[9]
Gaetano Scarano,et al.
Discrete time techniques for time delay estimation
,
1993,
IEEE Trans. Signal Process..
[10]
Werner Lienhart,et al.
High frequent total station measurements for the monitoring of bridge vibrations
,
2017
.