Papers by Reda Abdelfatah
A methodology for GPS engineering monitoring using GPS (GPSEM) has been developed and implemented... more A methodology for GPS engineering monitoring using GPS (GPSEM) has been developed and implemented in a software package at the Department of Geomatic Engineering, University College London (UCL). It detects the movements occurring in engineering objects by applying the sidereal-day correction technique for phase GPS multipath errors, a Kalman filter and a Cumulative SUM (CUSUM) control chart. In order to meet the objective of providing a low-cost system, the method uses only L1 phase observables to detect and quantify these movements. After promising success of the system and software on a controlled experiments were conducted to assess previously introduced known movements. The results show that it possible to detect a movement with an accuracy of the order of 1.6 millimeters in real-time with a delay of just three minutes with excellent control over false alarms. The system was implemented in a real engineering project (the Pacoima Dam in California, USA) and it was shown that the...
A methodology for GPS engineering monitoring using GPS (GPSEM) has been developed
and implemented... more A methodology for GPS engineering monitoring using GPS (GPSEM) has been developed
and implemented in a software package at the Department of Geomatic Engineering,
University College London (UCL). It detects the movements occurring in engineering objects
by applying the sidereal-day correction technique for phase GPS multipath errors, a Kalman
filter and a Cumulative SUM (CUSUM) control chart. In order to meet the objective of
providing a low-cost system, the method uses only L1 phase observables to detect and
quantify these movements. After promising success of the system and software on a
controlled experiments were conducted to assess previously introduced known movements.
The results show that it possible to detect a movement with an accuracy of the order of 1.6
millimeters in real-time with a delay of just three minutes with excellent control over false
alarms. The system was implemented in a real engineering project (the Pacoima Dam in
California, USA) and it was shown that the method was able to detect deformations that are
fully consistent with measured changes in the water surface level in the reservoir. The GPS
data processing aspects of the software were verified by comparison of results with a
commercial software (SKI-Pro) that uses a different methodology. In summary, an effective,
low-cost approach for reliable engineering monitoring using GPS has been developed, and
tested in controlled and real engineering environments.
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Papers by Reda Abdelfatah
and implemented in a software package at the Department of Geomatic Engineering,
University College London (UCL). It detects the movements occurring in engineering objects
by applying the sidereal-day correction technique for phase GPS multipath errors, a Kalman
filter and a Cumulative SUM (CUSUM) control chart. In order to meet the objective of
providing a low-cost system, the method uses only L1 phase observables to detect and
quantify these movements. After promising success of the system and software on a
controlled experiments were conducted to assess previously introduced known movements.
The results show that it possible to detect a movement with an accuracy of the order of 1.6
millimeters in real-time with a delay of just three minutes with excellent control over false
alarms. The system was implemented in a real engineering project (the Pacoima Dam in
California, USA) and it was shown that the method was able to detect deformations that are
fully consistent with measured changes in the water surface level in the reservoir. The GPS
data processing aspects of the software were verified by comparison of results with a
commercial software (SKI-Pro) that uses a different methodology. In summary, an effective,
low-cost approach for reliable engineering monitoring using GPS has been developed, and
tested in controlled and real engineering environments.
and implemented in a software package at the Department of Geomatic Engineering,
University College London (UCL). It detects the movements occurring in engineering objects
by applying the sidereal-day correction technique for phase GPS multipath errors, a Kalman
filter and a Cumulative SUM (CUSUM) control chart. In order to meet the objective of
providing a low-cost system, the method uses only L1 phase observables to detect and
quantify these movements. After promising success of the system and software on a
controlled experiments were conducted to assess previously introduced known movements.
The results show that it possible to detect a movement with an accuracy of the order of 1.6
millimeters in real-time with a delay of just three minutes with excellent control over false
alarms. The system was implemented in a real engineering project (the Pacoima Dam in
California, USA) and it was shown that the method was able to detect deformations that are
fully consistent with measured changes in the water surface level in the reservoir. The GPS
data processing aspects of the software were verified by comparison of results with a
commercial software (SKI-Pro) that uses a different methodology. In summary, an effective,
low-cost approach for reliable engineering monitoring using GPS has been developed, and
tested in controlled and real engineering environments.