Adaptive Selection of Cognitive Radar Waveforms Based on Improved Deep Q-Learning Network-Reference-Cited by-同舟云学术

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Adaptive Selection of Cognitive Radar Waveforms Based on Improved Deep Q-Learning Network

Published:2023-12-15 Issue: Volume:40 Page:515-522
ISSN:
Container-title:2023 3rd International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI)
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Author:

Zhu Jin¹,Ruan Hengyu¹,Han Li²,Chen Yicong¹,Cao Yanjun²,Zhang Chao²,Zhang Lijian³,Li Fu¹,Zhang Xiangrong¹

Affiliation:

1. School of Artificial Intelligence, Xidian University,Xi'an,Shaanxi Province,China,710071

2. The 54th Research Institute of China Electronics Technology,Shijiazhuang,Hebei Province,China,050081

3. Beijing Machinery Equipment Research Institute,Beijing,China,100854

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10527436/10527786/10528059.pdf?arnumber=10528059

Reference16 articles.

1. The knowledge aided sensor signal processing and expert reasoning (KASSPER) real-time signal processing architecture [radar signal processing]

2. Theory of Adaptive Radar

3. Adaptive waveform selection techniques for target tracking[D];Hongen;Graduate School of National University of Defense Technology,2010

4. Research on Particle filter track-before-detect technology based on waveform agile[D];Ke;University of Electronic Science and Technology of China,2015

5. Utilizing Neural Networks for Fully Adaptive Radar

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