Wilbur Myrick, Daniel Goff, and Stanley Radzevicius, ENSCO, Inc.

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Edge computing combines low power consumption with high compute capability for edge devices needing robust processing and recognition capability. This paper explores developing a Dynamic Time Warping (DTW) GNSS interference detection algorithm designed to operate on an ultra-low power, high-performance multicore microcontroller for edge devices. This multicore microcontroller for edge devices combines a GNSS receiver with a digital signal processing (DSP) engine that allows researchers to develop, integrate, and test advanced GNSS interference detection algorithms for edge devices. A commercial vehicle is used to support a mobile data collection platform in the development of the DTW based GNSS interference detection algorithm. Research results of the DTW based GNSS interference detection algorithm leveraging GNSS signal strength (C/No) measurements are discussed.