This paper outlines a strategy for identifying sensors in a passive locating system that are not functioning properly. The framework is based on the information extracted from delay estimation errors, obtained from solving a system of equations in which the cross- and cross-cross-correlation methods are both used. Hence, we remove equations with the highest errors and use a statistical test to identify which sensor is experiencing failure. Our approach is analyzed through numerical simulations and real-recorded data, and compared to heuristic and conventional methods to prove its advantages.
Giunta, G., Orlando, D., Pallotta, L. (2023). Sensor Failure Detection for TDOA-based Localization Systems. In 2023 IEEE 10th International Workshop on Metrology for AeroSpace, MetroAeroSpace 2023 - Proceedings (pp.380-384). Institute of Electrical and Electronics Engineers Inc. [10.1109/MetroAeroSpace57412.2023.10189954].
Sensor Failure Detection for TDOA-based Localization Systems
Giunta G.;
2023-01-01
Abstract
This paper outlines a strategy for identifying sensors in a passive locating system that are not functioning properly. The framework is based on the information extracted from delay estimation errors, obtained from solving a system of equations in which the cross- and cross-cross-correlation methods are both used. Hence, we remove equations with the highest errors and use a statistical test to identify which sensor is experiencing failure. Our approach is analyzed through numerical simulations and real-recorded data, and compared to heuristic and conventional methods to prove its advantages.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
