Mixed Intrusion Events Recognition Based on Group Convolutional Neural Networks in DAS System

The mixed intrusion events recognition is still a challenging problem in optical fiber perimeter security with distributed acoustic sensing (DAS), because the vibration signals will be mixed when multiple events occur at the same time and in close proximity. In order to identify mixed events consisting of two single events, we propose a recognition scheme based on deep group neural networks algori...