When is Cognitive Radar Beneficial? Insights from Dynamic Spectrum Access
Author:
Affiliation:
1. Wireless @ Virginia Tech,Bradley Department of ECE,Blacksburg,VA,USA,24061
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10149457/10149458/10149461.pdf?arnumber=10149461
Reference20 articles.
1. Online Meta-Learning for Scene-Diverse Waveform-Agile Radar Target Tracking
2. Universal Learning Waveform Selection Strategies for Adaptive Target Tracking
3. Measuring the reliability of reinforcement learning algorithms;chan;ArXiv Preprint,2019
4. Stochastically dominant distributional reinforcement learning;martin;International Conference on Machine Learning,2020
5. Performance Analysis of Pulse-Agile SDRadar with Hardware Accelerated Processing
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Timely Target Tracking: Distributed Updating in Cognitive Radar Networks;IEEE Transactions on Radar Systems;2024
2. Deep Reinforcement Learning for Cognitive Radar Spectrum Sharing: A Continuous Control Approach;IEEE Transactions on Radar Systems;2024
3. On the Value of Online Learning for Radar Waveform Selection;IEEE Transactions on Radar Systems;2023
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