Simulation of temperature compensation for geometrical stability in large ring laser

Author(s):  
Lisong Zhang ◽  
Wenge GUO ◽  
YAO Lixun ◽  
Erjiang ZHAI ◽  
Shitong LIU ◽  
...  
2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Jailos Mrisho Nzumile ◽  

Autoregressive (AR2) technique has always been used to estimate frequency of the output signal from Large ring laser. However, the acquisition rate is not at near real time which is the requirement and noise level still challenge the process resulting to errors in the final estimation. A research was done to compare the Autoregressive (AR2) with the counterparts such as Pisarenko, Quinn, Hilbert and Phase looking for a better technique that will estimate the frequency at near real time to minimize errors. Secondary data from G and C – II ring laser were used during the comparison between the techniques and Autoregressive (AR2). Results shows that, the output characteristics from the counterpart does not depict the oscillations of the Earth rotation as expected contrast to that of Autoregressive (AR2) which does. Moreover, there were much deviation from the expected true value for the techniques contrast to that of AR2 which is very minimum. On the other hand, when the C – II data were used, it was observed that both techniques resemble on their output characteristics though AR2 was still better in the acquisition rate expect for Hilbert transform which does not resemble with others. Following the scope of this paper, Autoregressive (AR2) technique still emerge as a favorite frequency estimation technique contrast to the four counterparts due to its robustness, high acquisition rate as well as low noise level.


2015 ◽  
Vol 23 (10) ◽  
pp. 13320 ◽  
Author(s):  
Geng Li ◽  
Fei Wang ◽  
Guangzong Xiao ◽  
Guo Wei ◽  
Pengfei Zhang ◽  
...  

2001 ◽  
Vol 01 (01) ◽  
pp. R41-R50 ◽  
Author(s):  
DUNCAN P. McLEOD ◽  
B. TOM KING ◽  
GEOFFREY E. STEDMAN ◽  
K. ULRICH SCHREIBER ◽  
TERRY H. WEBB

The second-order autoregressive AR(2) model is used to analyze rotational data for seismic events captured by a large ring laser gyroscope. Both the Sagnac frequency and linewidth estimates obtained from this model sense the rotational components of seismic waves. An event of magnitude M L = 6.5 at a distance of D = 5.4° from a large ring laser gyroscope operating at its quantum limit is used to compare the AR(2) model with the previous analytical phase angle method of analysis. The frequency, linewidth and analytic phase angle data each satisfactorily estimate the rotation magnitude. The direct detection of rotational motion in the P wave coda is observed, demonstrating the conversion to transverse S wave polarizations by the local geology.


2012 ◽  
Vol 16 (4) ◽  
pp. 777-786 ◽  
Author(s):  
A. Gebauer ◽  
K. U. Schreiber ◽  
T. Klügel ◽  
N. Schön ◽  
U. Ulbrich

1995 ◽  
Vol 34 (24) ◽  
pp. 5375 ◽  
Author(s):  
G. E. Stedman ◽  
Z. Li ◽  
H. R. Bilger

2011 ◽  
Vol 298 ◽  
pp. 1-6
Author(s):  
Guo Wei ◽  
Peng Fei Zhang ◽  
Xun Jin ◽  
Xing Wu Long

. Bias of ring laser gyro (RLG) changes with temperature in the non-linear way, which is an important restraining factor for improving the accuracy of RLG. For the deficiency of least squares regression and neural networks, a new method of temperature compensation of RLG’s bias was proposed, that is, building function regression model by using Least Squares-Support Vector Machine(LS-SVM). Static and dynamic temperature experiments of RLG’s bias are carried out. The results show that: after static temperature compensation, the maximum error of RLG’s bias has dropped from 0.0413º/hr to 0.00073º/hr; while after dynamic temperature compensation, the gyro precision has increased from = 0.0102º/hr to = 0.0011º/hr. It indicates that this method has improved the laser gyro’s accuracy considerably.


1999 ◽  
Vol 38 (12) ◽  
pp. 2516 ◽  
Author(s):  
Clive H. Rowe ◽  
Ulrich K. Schreiber ◽  
Steven J. Cooper ◽  
B. Tom King ◽  
Morrie Poulton ◽  
...  

2011 ◽  
Vol 31 (s1) ◽  
pp. s100519
Author(s):  
韩翔 Han Xiang ◽  
胡绍民 Hu Shaomin ◽  
魏国 Wei Guo

2015 ◽  
Author(s):  
Robert B. Hurst ◽  
Nishanthan Rabeendran ◽  
Jon-Paul R. Wells ◽  
K. Ulrich Schreiber

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