Ph.D. Students Morales, Shamaei and Khalife With Prof. Kassas Receive Two Best Paper Presentation Awards at ION GNSS+ 2016

Electrical and computer engineering assistant professor Zak Kassas

Ph.D. students Joshua MoralesKimia Shamaei, and Joe Khalife and their Ph.D. advisor Professor Zak Kassas received two best paper presentation awards in the 2016 Institute of Navigation Global Navigation Satellite System Conference (ION GNSS+).

The first award was in the “UAV Navigation” Session for their paper entitled “Signals of Opportunity Aided Inertial Navigation.” The paper presented a framework for aiding inertial navigation systems (INS) with ambient signals of opportunity (SOPs). The paper studied the performance of the proposed SOP-aided INS framework and demonstrated that cellular SOPs can be utilized as INS aiding sources in the absence of GPS signals. The presentation presented the first experimental demonstration of radio simultaneous localization and mapping (SLAM) in which a vehicle simultaneously mapped a cellular SOP in the environment and localized itself in space and time.

The second award was in the “Complementary Positioning, Navigation, and Timing (PNT)” for their paper entitled “Performance Characterization of Positioning in LTE Systems.” The paper presented low-level models of received cellular LTE signals along with an architecture for a software-defined radio (SDR) that is capable of (1) extracting essential parameters for navigation from received LTE signals and (2) acquiring and tracking real LTE signals transmitted from multiple base stations. The paper also presented a method for obtaining time-of-arrival (TOA) estimates that is highly robust against interference and noise in the environment, resulting in an unprecedented level of accuracy for navigation with cellular LTE signals. Experimental results utilizing the proposed SDR and associated signal models and algorithms demonstrated a mean distance difference of 11.96m between the LTE and GPS navigation solutions over a 1.42Km ground vehicle trajectory. The presentation presented the first experimental demonstration of an unmanned aerial vehicle (UAV) navigating exclusively with LTE signals.

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