Adaptation of frequency hop** interval for radar anti-jamming based on reinforcement learning

W Yi, PK Varshney - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
In modern electronic warfare, it is becoming very important to develop intelligent and
adaptive radar anti-jamming methods since jammers can now launch increasingly complex …

Radar and jammer intelligent game under jamming power dynamic allocation

J Geng, B Jiu, K Li, Y Zhao, H Liu, H Li - Remote Sensing, 2023 - mdpi.com
In modern electronic warfare, the intelligence of the jammer greatly worsens the anti-
jamming performance of traditional passive suppression methods. How to actively design …

Joint optimization of jamming type selection and power control for countering multifunction radar based on deep reinforcement learning

Z Pan, Y Li, S Wang, Y Li - IEEE Transactions on Aerospace …, 2023 - ieeexplore.ieee.org
Develo** intelligent jamming methods to combat the multifunction radar (MFR) has
become a vital task in electronic warfare, because the MFR can tune into different working …

A dynamic game strategy for radar screening pulsewidth allocation against jamming using reinforcement learning

P Liu, L Wang, Z Shan, Y Liu - IEEE Transactions on Aerospace …, 2023 - ieeexplore.ieee.org
Radio frequency (RF) screening is a practical antijamming technique. Determining
screening pulse width is key to the performance of RF screening. In this article, we …

Jamming strategy optimization through dual Q-learning model against adaptive radar

H Liu, H Zhang, Y He, Y Sun - Sensors, 2021 - mdpi.com
Modern adaptive radars can switch work modes to perform various missions and
simultaneously use pulse parameter agility in each mode to improve survivability, which …

Multi-agent reinforcement learning for anti-jamming game of frequency-agile radar

J Geng, B Jiu, K Li, Y Zhao, C Wang… - IEEE Geoscience and …, 2024 - ieeexplore.ieee.org
With the development of jamming systems, the jammer is becoming much smarter and can
change its strategy with radar, which forms a competitive game between the radar and the …

GA-dueling DQN jamming decision-making method for intra-pulse frequency agile radar

L **a, L Wang, Z **e, X Gao - Sensors, 2024 - mdpi.com
Optimizing jamming strategies is crucial for enhancing the performance of cognitive jamming
systems in dynamic electromagnetic environments. The emergence of frequency-agile …

Intelligent jamming against dynamic spectrum access user: Algorithm design and verification system implementation

L Wang, F Song, Z Feng, G Li, Y Jiao… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
In this letter, we investigate an intelligent jamming problem in a wireless confrontation
scenario where both the user and the jammer can dynamically adjust spectrum access or …

An intelligent anti-jamming decision-making method based on deep reinforcement learning for cognitive radar

W Jiang, Y Wang, Y Li, Y Lin… - 2023 26th International …, 2023 - ieeexplore.ieee.org
Due to the rapid development of cognitive radar and the complicated electromagnetic
environment, traditional anti-jamming decision-making methods are no longer suitable to …

Backward and sequential inductions for anti-jamming equilibrium strategy generation of frequency agile radar

C Wang, B Jiu, W Pu, K Li, Y Zhao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Mainlobe jamming has emerged as a serious threat to the radar and the carrier frequency
agility of the radar provides a promising way to address this challenge. In this article, the …