Robust Localization of Key Fob Using Channel Impulse Response of Ultra Wide Band Sensors for Keyless Entry Systems
CoRR(2024)
摘要
Using neural networks for localization of key fob within and surrounding a
car as a security feature for keyless entry is fast emerging. In this paper we
study: 1) the performance of pre-computed features of neural networks based UWB
(ultra wide band) localization classification forming the baseline of our
experiments. 2) Investigate the inherent robustness of various neural networks;
therefore, we include the study of robustness of the adversarial examples
without any adversarial training in this work. 3) Propose a multi-head
self-supervised neural network architecture which outperforms the baseline
neural networks without any adversarial training. The model's performance
improved by 67
sign method and 37
descent method.
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关键词
Ultra wide band (UWB),keyless entry,key fob localization,multi-head radial basis function self-supervised classification
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