ISAR Imaging of Drones Based on Time Domain Correlation Algorithm Using Millimeter-Wave Fast Chirp Modulation MIMO Radar

In this paper, we propose an inverse synthetic aperture radar (ISAR) imaging method using a millimeter-wave (mmW) fast chirp modulation (FCM) multi-input and multi-output (MIMO) radar for generating high-resolution radar images of drones. Time domain correlation algorithm, a well-known algorithm tha...

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Bibliographic Details
Published in2024 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNeT) pp. 76 - 79
Main Authors Ogawa, Kenshi, Tsagaanbayar, Dovchin, Nakamura, Ryohei
Format Conference Proceeding
LanguageEnglish
Published IEEE 21.01.2024
Subjects
drone detection
Drones
inverse synthetic aperture radar
Millimeter wave radar
MIMO radar
Radar imaging
Sensors
Time-domain analysis
ultra-wideband
Wireless sensor networks
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Summary:In this paper, we propose an inverse synthetic aperture radar (ISAR) imaging method using a millimeter-wave (mmW) fast chirp modulation (FCM) multi-input and multi-output (MIMO) radar for generating high-resolution radar images of drones. Time domain correlation algorithm, a well-known algorithm that performs synthetic aperture processing in the time domain, was adopted for ISAR imaging. The algorithm can easily compensate for irregular motions of a drone and is expected to produce highly accurate images. Two experimental measurement cases using two drones (DJI Phantom 3 and DJI Mavic Pro) were conducted in the laboratory to investigate the effectiveness of our proposal. The experimental results showed that the proposed method could generate the high-resolution ISAR images of each drone to recognize the 2D features of drone.
ISSN:2473-4624
DOI:10.1109/WiSNeT59910.2024.10438561