An unmanned aerial vehicle identification system and method with light weight, low power consumption and long-distance networking communication
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- 杭州智元研究院有限公司
- Filing Date
- 2026-03-27
- Publication Date
- 2026-06-09
AI Technical Summary
Existing drone identification systems are bulky and heavy, making it difficult to meet the needs of flexible deployment. They are not optimized for low-power, long-term operation scenarios, and their identification methods are either too simple or have low accuracy, making them unable to effectively identify unauthorized drones.
The drone identification system adopts a lightweight design and integrates an RF front-end, an RF signal detection unit, a drone signal identification unit, and a LoRa unit. It combines Drone ID, Remote ID, and time-frequency feature matching methods to achieve low-power long-distance networking communication. It forms a collaborative identification network through the LoRa module and wakes up the module only to identify abnormal signals.
It achieves low-power long-term monitoring, has long-distance networking communication capabilities, improves the reliability and efficiency of drone identification, and can continuously monitor and identify various drone types in power-constrained areas.
Smart Images

Figure CN121924470B_ABST