ITC 2023 Alexandria Invited Talk

Integrated mm-Wave Wireless Positioning – The Future of Urban Navigation

Dr. Aboelmagd Noureldin

NavINST – Navigation and Instrumentation Research Group
Department of Electrical and Computer Engineering Royal Military College of Canada.

E-mail: nourelda@queensu.ca, , Web: navinst.ca

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Bio and Abstract

Abstract

As the world continues to move toward a more efficient transportation system driven by connected and autonomous vehicles (CAV), there is a growing demand for new technologies that guarantee efficient and safe operation. Trust in CAVs hinges on the reliability of autonomy, including the crucial task of positioning and navigation, which should be accurately provided at high precision everywhere for all environments and operating conditions. The next-generation mobile networks (5G and 6G) operating in the millimeter wave (mmWave) band is anticipated to transform modern societies by providing an ultrareliable, high-speed communications infrastructure. mmWave operates with high bandwidth, allowing for high-resolution time-based measurements hence accurate range estimation. It also features massive MIMO antennas, providing higher angular resolution and precise angle-based measurements. The use of mmWave wireless networks for high-precision positioning in CAVs may have the potential to significantly improve the safety and efficiency of transportation systems.
In this presentation, the recent advancements in mmWave wireless networks for high-precision positioning will be explored, with a specific focus on navigating CAVs in densely populated urban areas. The discussion will cover the development and implementation of a seamless positioning solution that integrates the mmWave wireless network with the motion sensors onboard the CAV. Furthermore, the presentation will examine how non-line-of-sight signals can be used for wireless positioning and how to overcome the challenge of multipath in urban environments. The capabilities of achieving an uninterrupted decimeter level of positioning accuracy will be demonstrated, making the developed methods suitable for level three of autonomy. The presentation will showcase the performance of the integrated mmWave wireless positioning solution using road test trajectories from downtown Toronto, Ontario, Canada.





BIO

Aboelmagd Noureldin (M'98–SM'08) received the B.Sc. degree in electrical engineering and the M.Sc. degree in engineering physics from Cairo University, Giza, Egypt, in 1993 and 1997, respectively, and the Ph.D. degree in electrical and computer engineering from The University of Calgary, Calgary, AB, Canada, in 2002. He is a Cross-Appointment Associate Professor with the Department of Electrical and Computer Engineering, Queen's University, Kingston, ON, Canada, and the Department of Electrical and Computer Engineering, Royal Military College (RMC) of Canada, Kingston. He is also the Founder and the Leader of the Navigation and Instrumentation Research Group, RMC. His research is related to artificial intelligence, digital signal processing, spectral estimation, and denoising, wavelet multiresolution analysis, and adaptive filtering, with emphasis on their applications in mobile multisensor system integration for navigation and positioning technologies. Dr. Noureldin is the Chair of the Alternative Integration Methods Research Group, International Association of Geodesy.

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