Low-Cost COTS GNSS Interference Monitoring, Detection, and Classification System.

ABSTRACT: Interference signals cause position errors and outages to global navigation satellite system (GNSS) receivers. However, to solve these problems, the interference source must be detected, classified, its purpose determined, and localized to eliminate it. Several interference monitoring solutions exist, but these are expensive, resulting in fewer nodes that may miss spatially sparse interference signals. This article introduces a low-cost commercial-off-the-shelf (COTS) GNSS interference monitoring, detection, and classification receiver. It employs machine learning (ML) on tailored signal pre-processing of the raw signal samples and GNSS measurements to facilitate a generalized, high-performance architecture that does not require human-in-the-loop (HIL) calibration. Therefore, the low-cost

SUBMITTER: van der Merwe JR 

PROVIDER: S-EPMC10098881 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature