Jamming Strategy Optimization through Dual Q-Learning Model against Adaptive Radar

Jamming Strategy Optimization through Dual Q-Learning Model against Adaptive Radar

Modern adaptive radars can switch work modes to perform various missions and simultaneously use pulse parameter agility in each mode to improve survivability, which leads to a multiplicative increase in the decision-making complexity and declining performance of the existing jamming methods. In this...

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Bibliographic Details
Main Authors: Hongdi Liu, Hongtao Zhang, Yuan He, Yong Sun
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Sensors
Subjects:
adaptive radar
jamming strategy optimizing
reinforcement learning
Q-learning
jamming effectiveness evaluation
Online Access:https://www.mdpi.com/1424-8220/22/1/145

Internet

https://www.mdpi.com/1424-8220/22/1/145

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