The time series analysis in GPS structural monitoring schemes

Abstract

https://sale.aliexpress.com/__pc/brand_shopping_week_clothing.htmNowadays, the Global Positioning System (GPS) has evolved as an important tool for estimating structural deformation in large engineering structures for examples bridges, dams and high rise buildings. Continuous GPS measurement can be employed in order to ensure that the engineering structures is exhibiting safe deformation behaviour for the purpose of safety assessment as well as preventing any disaster in the future. Today, GPS receivers for positioning and timing are capable to output range observations at high rates, typically once per second or even higher, for instance at 5 or 10 Hz. One is easily provided with dense and extensive time series of code and phase observations to all GPS satellites in view, on both the L1 and L2 frequency. Here, continuous solution enables time series of increased temporal resolution, from which deformation motion can be estimated from a shorter data time span and with more confidence of the episodic sampling of deformation signals. Furthermore, it offers the ability to mitigate systematic biases that results from multipath, atmospheric delays and other temporal considerations. In this study, we examined the GPS results collected from the instrument installed on top of the tower, in order to evaluate the existence of low and high frequency noises embedded in the observed data. The low pass filter, also known as least squares smoothing has been used to extract the high frequency noise and finally, the time series analysis was used to detect structural movement.