Applied GPS for Engineers and Project Managers

Ogaja, Clement

doi:10.1061/9780784411506

Cited by 18 publications

(8 citation statements)

References 8 publications

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“…UWB and Indoor GPS both require due to multi-path effects a line-of-sight between the receiver and transmitter or reference tag, respectively and require considerable time for deployment. Moreover, GPS cannot be used in an indoor environment (Ogaja 2011), and neither technology is able to record the timestamps which is vital for localization. Cameras and vision technology have been used in construction for project monitoring and safety (Bohn and Teizer 2010, Memarzadeh et al 2012, Yang et al 2014, Yang et al 2011, Yang et al 2010, Teizer and Vela 2009), but have not been integrated with BIM based FM.…”

Section: Indoor Localizationmentioning

confidence: 99%

Fusing passive RFID and BIM for increased accuracy in indoor localization

Costin

Teizer²

2015

Vis. in Eng.

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Background: Finding the current location of a specific utility or oneself in an unfamiliar facility can be difficult and time consuming. The hypothesis tested in this paper is that using the information contained within Building Information Models (BIM) can increase the accuracy of indoor positioning algorithms using context-aware sensing technology. The presented work demonstrates how the integration of passive Radio Frequency Identification (RFID) tracking technology and Building Information Modeling (BIM) can assist indoor localization for potential applications in facilities management for proactive preventative maintenance.

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Section: Indoor Localizationmentioning

confidence: 99%

Fusing passive RFID and BIM for increased accuracy in indoor localization

Costin

Teizer²

2015

Vis. in Eng.

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“…So the other way depends on removing this unknown ambiguity value by using the Single Difference (SD) in time between single receiver and single satellite at two constitute epochs (Fig. 3 At single difference technique the givens data are the phase observations from one satellite (s) to one receiver (r) at two different epochs (t1 and t2) [Ogaja, 2011]. The difference between two consecutive epochs is as follows.…”

Section: Single Difference Processmentioning

confidence: 99%

“…Also the SD technique reduces the ephemeris, ionospheric, and tropospheric errors, if epoch interval is short (less than 1min)[Ogaja, 2011].Fig. 3.…”

mentioning

confidence: 97%

Phase-Phase and Phase-Code Methods Modification for Precise Detecting and Predicting the GPS Cycle Slip Error

Elashiry¹,

Youssef²,

Hamid³

2015

Annual of Navigation

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There are three well-established detecting methods for cycle slip error, which are: Doppler measurement method, Phase-Code differencing method, and Phase-Phase Differencing Method. The first method depends on the comparison between observables and the fact that Doppler measurements are immune to cycle slip error. This method is considered as the most precise method for cycle slip detecting, because it succeed in detecting and predicting the smallest cycle slip size (1 cycle) in case the local oscillator has low bias. The second method depends on the comparison between observables (phase and code) and the code measurements are immune to the cycle slip error. But this method can't detect or predict cycle slip size smaller than 10 cycles, because the code measurements have high noise. The third method depends on the comparison between observables (phase 1 and phase 2) and the phases measurements that have low noise. But this method can't detect or predict cycle slip size smaller than 5 cycles, because the ionospheric change might have a high variation. For enhancing the precision of the last two methods in detecting the smallest cycle slip which size reaches 1 cycle, a new algorithm was developed in this research to determine the change in the ionospheric values and the code bias from epoch to epoch. That is done by solving all observables equations by least square technique. This modification on these methods succeed in detecting and predicting cycle slips of size of 1 cycle.

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“…A GPS receiver is used to receive the GPS signal from the satellite system to synchronize the different distributed converter systems. It is worth noting that the GPS signals use L-band frequency spectrum (1-2 GHz) because of its ability to penetrate clouds, rain, fog, and snow with minimal impact of weather conditions [24]. However, the GPS signals can be blocked in certain conditions such as jamming and signal blocked by physical objects.…”

Section: The Proposed Gps-based Synchronization Systemmentioning

confidence: 99%

GPS Synchronization of Smart Distributed Converters for Microgrid Applications

Youssef

Salem

Mabwe³

et al. 2018

Energies

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In this paper, a smart distributed DC/DC converter synchronization advanced technique and phase angle optimization algorithm are proposed using to reduce the DC bus overall ripple. A global positioning system-based scheme is used to synchronize the carrier among the distributed converters. The carrier phase angle optimization among the different converters is inspired by Carrier-Sense Multiple Access protocol. The proposed system is simulated and analyzed using Matlab/Simulink program. As a proof of concept of the proposed technique, two case studies have been investigated under equal and unequal load sharing among the distributed generators. The proposed algorithm shows a significant reduction in the DC bus voltage ripple. To prove the concept, a laboratory test-bed has been built and the proposed algorithm has been implemented to validate the theoretical and simulation results. The close agreement between the experimental and simulation results demonstrates the effectiveness and validity of the proposed algorithm.

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Applied GPS for Engineers and Project Managers

Cited by 18 publications

References 8 publications

Fusing passive RFID and BIM for increased accuracy in indoor localization

Fusing passive RFID and BIM for increased accuracy in indoor localization

Phase-Phase and Phase-Code Methods Modification for Precise Detecting and Predicting the GPS Cycle Slip Error

GPS Synchronization of Smart Distributed Converters for Microgrid Applications

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