John Aggrey
I am currently a PhD graduate student, research and teaching assistant of York University in Toronto, Canada. My background in the analysis of Global Navigation Satellite Systems (GNSS) data, and in the development of GNSS data processing software, enables me to make a valuable contribution to both academia and industry.
I graduated with a Masters Degree (MSc) from York University (2015) after my Bachelor of Science degree in Geomatics Engineering from KNUST (Ghana) in 2010. I made it a point to gain work experience after school, in the various positions held on my resume thus demonstrating a solid work ethic, with no fear of rolling up my sleeves and getting the job done. In addition to being flexible and responsive, I am also a fanatic for details – particularly when it comes to understanding theoretical GNSS research interests that include development of positioning algorithms. This includes filtering, functional models, stochastic models, and prediction models of GNSS data processing. My recent research has focused on improving the performance of the Precise Point Positioning (PPP) technique through equipment bias calibration with the raw pseudorange and carrier–phase measurements. One of my recent projects involved the implementation of a real-time GNSS PPP augmentation to the York GNSS engine which I developed. This augmentation was used in a Real-time Kinematics project with Gemini Navsoft Technologies Inc. in New Brunswick, Canada. The result? A complete real-time GNSS software engine capable of processing raw GNSS measurements either in post or real-time processing, developed in the Microsoft.NET platform. I believe in applying this same level of expertise both in detail and skill in resilient completion of tasks.
I have an excellent command of the English language, good communication and presentation skills. I work extensively with C++, C, MATLAB, Visual Basic, ASP.Net, MS Word, MS Access, Power-point, Excel, Outlook, SPSS and Visual Basic in Excel.
Supervisors: Dr. Sunil Bisnath
I graduated with a Masters Degree (MSc) from York University (2015) after my Bachelor of Science degree in Geomatics Engineering from KNUST (Ghana) in 2010. I made it a point to gain work experience after school, in the various positions held on my resume thus demonstrating a solid work ethic, with no fear of rolling up my sleeves and getting the job done. In addition to being flexible and responsive, I am also a fanatic for details – particularly when it comes to understanding theoretical GNSS research interests that include development of positioning algorithms. This includes filtering, functional models, stochastic models, and prediction models of GNSS data processing. My recent research has focused on improving the performance of the Precise Point Positioning (PPP) technique through equipment bias calibration with the raw pseudorange and carrier–phase measurements. One of my recent projects involved the implementation of a real-time GNSS PPP augmentation to the York GNSS engine which I developed. This augmentation was used in a Real-time Kinematics project with Gemini Navsoft Technologies Inc. in New Brunswick, Canada. The result? A complete real-time GNSS software engine capable of processing raw GNSS measurements either in post or real-time processing, developed in the Microsoft.NET platform. I believe in applying this same level of expertise both in detail and skill in resilient completion of tasks.
I have an excellent command of the English language, good communication and presentation skills. I work extensively with C++, C, MATLAB, Visual Basic, ASP.Net, MS Word, MS Access, Power-point, Excel, Outlook, SPSS and Visual Basic in Excel.
Supervisors: Dr. Sunil Bisnath
less
Interests
Uploads
Papers by John Aggrey
The GLONASS pseudorange inter-channel frequency biases show a strong correlation with different receiver types, firmware versions and antenna types. This research estimated the GLONASS pseudorange inter-frequency channel biases using 350 IGS stations, based on 32 receiver types and 4 antenna types over a period of one week. An improvement of 19% was observed after calibrating for the pseudorange ICBs, in the horizontal components respectively, considering a 20 minutes convergence period