Compressive Sensing Radar Imaging With Convolutional Neural Networks

Compressive Sensing Radar Imaging With Convolutional Neural Networks

In the area of radar imaging at any frequency band from microwave to optics, the technique of compressive sensing (CS) enables high resolution with reduced number of antenna elements and measurements. However, CS methods suffer from high computational complexity and require parameter tuning to ensur...

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Bibliographic Details
Main Authors: Qiao Cheng, Achintha Avin Ihalage, Yujie Liu, Yang Hao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Antenna arrays
compressive sensing
convolutional neural networks (CNN)
machine learning
radar imaging
Online Access:https://ieeexplore.ieee.org/document/9269977/

Internet

https://ieeexplore.ieee.org/document/9269977/

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