Unmanned Vehicle Electromagnetic Interference System Design MethodBased on Target Orientation Detection

In specific scenarios, such as military exercises and security lockdowns, it is critical to prevent unmanned vehicles from inadvertently entering restricted areas. The article proposes a system design method to identify the orientation of unmanned vehicles and interfere with their navigation information. The system uses the optimized YOLOv5 model to identify the angular of unmanned vehicles, and uses multimodal fusion techniques that combine millimeter-wave radar sensing and image processing to detect the distance. When unmanned vehicles enter restricted areas, the system transmits global positioning system (GPS) jamming signals with specified power in a targeted direction to disrupt their navigation systems.