Radar data simulation using deep generative networks

Radar data simulation using deep generative networks

Due to the high cost of real experiments, radar data simulation plays an important role in radar applications. However, the accuracy and the calculation speed of existing simulation methods is limited by the model error and the heavy calculation of electromagnetic simulation. Here, a radar data simu...

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Bibliographic Details
Main Authors: Yiheng Song, Yanhua Wang, Yang Li
Format: Article
Language:English
Published: Wiley 2019-08-01
Series:The Journal of Engineering
Subjects:
learning (artificial intelligence)
radar computing
data handling
neural nets
deep generative network
radar applications
calculation speed
model error
electromagnetic simulation
radar data simulation method
dgn
generative model
labelled data
data samples
ground-based radar dataset
generated radar data
training radar data
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0144

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0144

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