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A Reinforcement Learning Based Approach for Multitarget Detection in Massive MIMO Radar

  • Published:2021-10 Issue:5 Volume:57 Page:2622-2636
  • ISSN:0018-9251
  • Container-title:IEEE Transactions on Aerospace and Electronic Systems
  • language:
  • Short-container-title:IEEE Trans. Aerosp. Electron. Syst.

Author:

Ahmed Aya MostafaORCID,Ahmad Alaa AlameerORCID,Fortunati StefanoORCID,Sezgin AydinORCID,Greco Maria SabrinaORCID,Gini FulvioORCID

Funder

Deutsche Forschungsgemeinschaft

Italian Ministry of Education and Research

Cross Laboratory Project

Departments of Excellence Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Aerospace Engineering

Cited by 48 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. Intelligent decision-making algorithm for airborne phased array radar search tasks based on a hierarchical strategy framework;Chinese Journal of Aeronautics;2024-09

2. Reinforcement Learning-Based MIMO Radar Multitarget Detection Assisted by Bayesian Inference;IEEE Transactions on Aerospace and Electronic Systems;2024-08

3. Robust Communication and Computation using Deep Learning via Joint Uncertainty Injection;2024 19th International Symposium on Wireless Communication Systems (ISWCS);2024-07-14

4. DynaPA: Dynamic Power Allocation for Improved Exploration-Exploitation in Active Sensing;2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM);2024-07-08

5. Artificial Intelligence applications in Noise Radar Technology;IET Radar, Sonar & Navigation;2024-06-28
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