A Radar Signal Deinterleaving Method Based on Semantic Segmentation with Neural Network-Reference-Cited by-同舟云学术

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A Radar Signal Deinterleaving Method Based on Semantic Segmentation with Neural Network

Published:2022 Issue: Volume:70 Page:5806-5821
ISSN:1053-587X
Container-title:IEEE Transactions on Signal Processing
language:
Short-container-title:IEEE Trans. Signal Process.

Author:

Chao Wang¹^ORCID,Liting Sun²^ORCID,Zhangmeng Liu²^ORCID,Zhitao Huang²

Affiliation:

1. College of Electronic Science and Technology and College of Electronic Engineering, National University of Defense Technology, Changsha, China

2. College of Electronic Science and Technology, National University of Defense Technology, Changsha, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/78/9675017/09999169.pdf?arnumber=9999169

Reference47 articles.

1. Deinterleaving of Pulse Streams With Denoising Autoencoders

2. Grid long short-term memory;kalchbrenner,2016

3. Denoising of Radar Pulse Streams With Autoencoders

4. Learning multiple timescales in recurrent neural networks;tayfun;Proc Artif Neural Netw Mach Learn -ICANN,0

5. ELINT: The interception and analysis of radar signals;wiley,2006

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2. An End-to-end Radar Pulse Deinterleaving Structure Based on Point Cloud Mapping;Digital Signal Processing;2024-09

3. CAU-Net: A Convolutional Attention U-Network For Radar Signal Deinterleaving;IEEE Communications Letters;2024-07

4. Radar signal sorting based on image semantic segmentation;Journal of Physics: Conference Series;2024-07-01

5. TR-RAGCN-AFF-RESS: A Method for Radar Emitter Signal Sorting;Remote Sensing;2024-03-22

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