Multi-time frequency analysis and classification of a micro-drone carrying payloads using multistatic radar

Multi-time frequency analysis and classification of a micro-drone carrying payloads using multistatic radar

This article presents an analysis of three multi-domain transformations applied to radar data of a micro-drone operating in an open field, with a payload (between 200 and 600 g) and without a payload. Inferring the presence of a drone attempting to transport a payload beyond its normal operating con...

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Bibliographic Details
Main Authors: Jarez S. Patel, Caesar Al-Ameri, Francesco Fioranelli, David Anderson
Format: Article
Language:English
Published: Wiley 2019-08-01
Series:The Journal of Engineering
Subjects:
learning (artificial intelligence)
image classification
autonomous aerial vehicles
time-frequency analysis
convolutional neural nets
radar applications
alexnet
netrad
cnn
microdrone
pretrained convolutional neural network
domain transformations
prospective low altitude airspace security systems
normal operating conditions
open field
radar data
multidomain transformations
multistatic radar
multitime frequency analysis
drone hovering
six-class classification problem
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0551

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0551

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