Dr LI Song-fan李松璠博士

Research Assistant Professor, Department of Computer Science and Engineering, The Hong Kong University of Science and Technology

香港科技大學計算機科學及工程學系助理教授(研究)

Long Range UAV Remote Identification using LoRa

實現遠距無人機遠端識別

Abstract

講座撮要

The rapid growth of unmanned aerial vehicle (UAV) operations has created an urgent need for scalable, reliable, and cost‑effective methods of remote identification to ensure airspace safety and regulatory compliance. Conventional approaches to UAV identification rely heavily on short‑range communication technologies such as Wi‑Fi or Bluetooth, which limit detection to a few hundred meters and struggle in environments with high interference. This talk explores the use of LoRa (Long Range) communication technology as an alternative physical layer for UAV remote identification. Leveraging its ability to achieve multi‑kilometer coverage with ultra‑low power consumption, we demonstrate how LoRa can extend the effective monitoring range of UAVs, even in rural or obstructed environments. 隨著無人機（UAV）運行的快速增長，對於可擴展、可靠且具成本效益的遠端識別方法的需求日益迫切，以確保空域安全與法規遵循。傳統的無人機識別方法主要依賴於 Wi‑Fi 或藍牙等短距通訊技術，但其偵測範圍僅限於數百公尺，且在干擾嚴重的環境中往往表現不佳。本次演講將探討使用 LoRa（Long Range）通訊技術作為無人機遠端識別的替代實體層方案。藉由 LoRa 在極低功耗下實現多公里覆蓋的能力，我們展示了如何利用該技術延伸無人機的有效監測範圍，即便是在鄉村或具有遮蔽的環境中亦能適用。