Enhancing Small Drone Detection with Active Electronically Scanned Array Radar

The Radar Cross Section (RCS) of quadcopters is relatively low, making it challenging for both civilian and military radars to detect their presence. This study investigates the feasibility and performance of Active Electronically Scanned Array (AESA) Radar in detecting the RCS of specific small drones. By analyzing the radar cross-sectional values, along with the latitude and longitude of the aircraft at one-second intervals, this research aims to understand the drones’ movement characteristics and the correlation between RCS variations and their flight postures. The ultimate goal is to advance Taiwan’s remote sensing capabilities and improve early detection and tracking of small drones, thereby enhancing both civilian and military situational awareness and response strategies.

Authors

Institutions

Publication Details

Published
2024-12-10
DOI
https://doi.org/10.1109/ispacs62486.2024.10868678
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Small Drone Detection with Active Electronically Scanned Array Radar

Hongwei Zhuang, Chu-Yu Chen, Chien‐Hung Chen, Cheng-Yu Tsai et al.
UAV Applications and Optimization
article

Enhancing Small Drone Detection with Active Electronically Scanned Array Radar

Hongwei Zhuang, Chu-Yu Chen, Chien‐Hung Chen, Cheng-Yu Tsai, Yongkang Liu
article en

Abstract

The Radar Cross Section (RCS) of quadcopters is relatively low, making it challenging for both civilian and military radars to detect their presence. This study investigates the feasibility and performance of Active Electronically Scanned Array (AESA) Radar in detecting the RCS of specific small drones. By analyzing the radar cross-sectional values, along with the latitude and longitude of the aircraft at one-second intervals, this research aims to understand the drones’ movement characteristics and the correlation between RCS variations and their flight postures. The ultimate goal is to advance Taiwan’s remote sensing capabilities and improve early detection and tracking of small drones, thereby enhancing both civilian and military situational awareness and response strategies.

National University of Tainan (TW), R.O.C Military Academy (TW)
National Science and Technology Council
Affordable and clean energy
Openalex Percentile: Top 55%
UAV Applications and Optimization
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.

Enhancing Small Drone Detection with Active Electronically Scanned Array Radar — Hongwei Zhuang, Chu-Yu Chen, et al. · (2024) | TGRS Research Map | TGRS