Efficient FPGA Implementation of Convolutional Neural Networks and Long Short-Term Memory for Radar Emitter Signal Recognition

Efficient FPGA Implementation of Convolutional Neural Networks and Long Short-Term Memory for Radar Emitter Signal Recognition

In recent years, radar emitter signal recognition has enjoyed a wide range of applications in electronic support measure systems and communication security. More and more deep learning algorithms have been used to improve the recognition accuracy of radar emitter signals. However, complex deep learn...

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Bibliographic Details
Main Authors: Bin Wu, Xinyu Wu, Peng Li, Youbing Gao, Jiangbo Si, Naofal Al-Dhahir
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Sensors
Subjects:
convolutional neural network (CNN)
field programmable gate array (FPGA)
hardware accelerators
long short-term memory (LSTM)
radar emitter signal recognition
Online Access:https://www.mdpi.com/1424-8220/24/3/889

Internet

https://www.mdpi.com/1424-8220/24/3/889

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