Drone Detection with Chirp‐Pulse Radar Based on Target Fluctuation Models

Drone Detection with Chirp‐Pulse Radar Based on Target Fluctuation Models

This paper presents a pulse radar system to detect drones based on a target fluctuation model, specifically the Swerling target model. Because drones are small atypical objects and are mainly composed of non‐conducting materials, their radar cross‐section value is low and fluctuating. Therefore, det...

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Bibliographic Details
Main Authors: Byung‐Kwan Kim, Junhyeong Park, Seong‐Jin Park, Tae‐Wan Kim, Dae‐Hwan Jung, Do‐Hoon Kim, Taihyung Kim, Seong‐Ook Park
Format: Article
Language:English
Published: Electronics and Telecommunications Research Institute (ETRI) 2018-04-01
Series:ETRI Journal
Subjects:
Doppler measurements
Doppler radar
Millimeter wave radar
Radar signal processing
Online Access:https://doi.org/10.4218/etrij.2017-0090

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