Radar Signal Intra-Pulse Modulation Recognition Based on Convolutional Denoising Autoencoder and Deep Convolutional Neural Network

Radar Signal Intra-Pulse Modulation Recognition Based on Convolutional Denoising Autoencoder and Deep Convolutional Neural Network

Radar signal intra-pulse modulation recognition is an important technology in electronic warfare. A radar signal intra-pulse modulation recognition method based on convolutional denoising autoencoder (CDAE) and deep convolutional neural network (DCNN) is proposed in this paper. First, we use Cohen&#...

Full description

Bibliographic Details
Main Authors: Zhiyu Qu, Wenyang Wang, Changbo Hou, Chenfan Hou
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Radar signal recognition
Cohen class time frequency distribution
convolutional denoising autoencoder
deep convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/8798607/

Internet

https://ieeexplore.ieee.org/document/8798607/

Similar Items