A Meta-Cognitive Approach to Adaptive Radar Detection-Reference-Cited by-同舟云学术

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A Meta-Cognitive Approach to Adaptive Radar Detection

Published:2023 Issue: Volume: Page:1-17
ISSN:0018-9251
Container-title:IEEE Transactions on Aerospace and Electronic Systems
language:
Short-container-title:IEEE Trans. Aerosp. Electron. Syst.

Author:

Stringer Alexander¹^ORCID,Dolinger Geoffrey¹,Hogue Debra²,Schley Lacey³,Metcalf Justin G.¹^ORCID

Affiliation:

1. School of Electrical and Computer Engineering, Advanced Radar Research Center at the University of Oklahoma, USA

2. Department of Computer Science, University of Oklahoma, USA

3. Oklahoma Aerospace and Defense Innovation Institute, University of Oklahoma, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Aerospace Engineering

Link

http://xplorestaging.ieee.org/ielx7/7/7778228/10121627.pdf?arnumber=10121627

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. Application of Generative Machine Learning for Adaptive Detection with Limited Sample Support;2024 IEEE Radar Conference (RadarConf24);2024-05-06

2. Guest Editorial for the TAES Special Section on Deep Learning for Radar Applications;IEEE Transactions on Aerospace and Electronic Systems;2024-02

3. Metacognitive Radar: Masking Cognition From an Inverse Reinforcement Learner;IEEE Transactions on Aerospace and Electronic Systems;2023-12

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