Detection and recognition of drones by using coherent micro Doppler LiDAR sensor

This article addresses a coherent detection scheme for small Unmanned Aerial Vehicles (UAVs) using the micro-Doppler effect of a continuous wave laser. With the rapid increase in UAV-related threats, the need for effective UAV detection and countermeasures is also growing. In addition to detecting small UAVs from a stand-off distance, recognizing them is crucial due to the presence of various natural flying objects in the sky. The proposed Doppler LiDAR system acquires and distinguishes the beating patterns of birds' wings and drone blades. This article also discusses an optical frequency stabilization scheme based on an optical phase-locked loop (OPLL) configuration. The photons reflected from the target are coherently amplified and converted into electronic signals using a complex signal laser interferometer. Object signatures are analyzed in the spectral domain and recognized using AI. The experimental setup and test results are also presented in this article.

Authors

Institutions

Publication Details

Published
2025-06-18
DOI
https://doi.org/10.1117/12.3065395
Primary Topic
Advanced Optical Sensing Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Detection and recognition of drones by using coherent micro Doppler LiDAR sensor

Jongpil La, Jieun Choi, Byungin Choi
Advanced Optical Sensing Technologies
article

Detection and recognition of drones by using coherent micro Doppler LiDAR sensor

Jongpil La, Jieun Choi, Byungin Choi
article en

Abstract

This article addresses a coherent detection scheme for small Unmanned Aerial Vehicles (UAVs) using the micro-Doppler effect of a continuous wave laser. With the rapid increase in UAV-related threats, the need for effective UAV detection and countermeasures is also growing. In addition to detecting small UAVs from a stand-off distance, recognizing them is crucial due to the presence of various natural flying objects in the sky. The proposed Doppler LiDAR system acquires and distinguishes the beating patterns of birds' wings and drone blades. This article also discusses an optical frequency stabilization scheme based on an optical phase-locked loop (OPLL) configuration. The photons reflected from the target are coherently amplified and converted into electronic signals using a complex signal laser interferometer. Object signatures are analyzed in the spectral domain and recognized using AI. The experimental setup and test results are also presented in this article.

Innovision (Denmark) (DK), Hanwha Solutions (South Korea) (KR)
Openalex Percentile: Top 86%
Advanced Optical Sensing Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Detection and recognition of drones by using coherent micro Doppler LiDAR sensor — Jongpil La, Jieun Choi, et al. · (2025) | TGRS Research Map | TGRS