Inspiration
Our project works to use RF signals to detect various friendly, hostile, and civilian signals on the battlefield. This works in harsh environments and allows users to track in real time possible targets.
What it does
Using a convolutional neural network (CNN), the model aims to classify possible signals using modulation, SNR, and other properties. Different methods, such as RSSI and TDOA, were used for geolocation that publishes to a front-end COP hosted on Flutter.
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