An algorithm for jamming strategy using OMP and MAB

An algorithm for jamming strategy using OMP and MAB

Abstract Reinforcement learning (RL) has the advantage of interaction with an environment over time, which is helpful in cognitive jamming research, especially in an electronic warfare-type scenario, in which the communication parameters and jamming effect are unknown to a jammer. In this paper, an...

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Bibliographic Details
Main Authors: Shaoshuai ZhuanSun, Jun-an Yang, Hui Liu
Format: Article
Language:English
Published: SpringerOpen 2019-04-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Reinforcement learning
Cognitive jamming
Orthogonal matching pursuit
Multi-armed bandit
Interaction times
Online Access:http://link.springer.com/article/10.1186/s13638-019-1414-4

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http://link.springer.com/article/10.1186/s13638-019-1414-4

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