A novel target threat assessment method based on three-way decisions under intuitionistic fuzzy multi-attribute decision making environment

Y Gao, D Li, H Zhong - Engineering Applications of Artificial Intelligence, 2020 - Elsevier
Target threat assessment aims to rank targets threat based on their attributes and state
information, which provide decision support for subsequent military decisions, eg weapon …

基于双Q 学习算法的干扰资源分配策略

黄星源, 李岩屹 - 系统仿真学报, 2021 - china-simulation.com
在现代战争中雷达发展趋于多功能化, 甚至多个雷达一起探测目标, 使得雷达的抗干扰能力增强.
而传统的干扰系统仍遵循着固定的干扰策略, 面临需要干扰的雷达数目多时决策的实时性较差 …

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 …

Deep reinforcement learning for target searching in cognitive electronic warfare

S You, M Diao, L Gao - IEEE Access, 2019 - ieeexplore.ieee.org
The recent appreciation of deep reinforcement learning (DRL) arises from its successes in
many domains, but the applications of DRL in practical engineering are still unsatisfactory …

Implementation of a combinatorial‐optimisation‐based threat evaluation and jamming allocation system

S You, M Diao, L Gao - IET Radar, Sonar & Navigation, 2019 - Wiley Online Library
Electromagnetic warfare is the most extensive and most hidden theatre of battle in modern
warfare. To enhance the jamming effectiveness of a cooperative jammer platform against the …

An Electronic Jamming Method Based on a Distributed Information Sharing Mechanism

P Zhang, Y Huang, Z Jin - Electronics, 2023 - mdpi.com
In an electronic jamming system, the ability to adequately perceive information determines
the effectiveness of an electronic countermeasures strategy. This paper proposes a new …

Design of Cognitive Jamming Decision-Making System Against MFR Based on Reinforcement Learning

W Zhang, D Ma, Z Zhao, F Liu - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
Electronic countermeasures are developing towards intelligence. The multifunctional radar
changes its working state in real time according to the task requirements. The traditional …

A Cognitive Jamming Decision-Making Method Based on Heuristic Improved A2C Algorithm

C Zhang, B Yang, L Wang, W Ji… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Cognitive electronic warfare (CEW) has received increasing attention, and it is widely
recognized that it will play a significant role. Cognitive jamming decision-making, as one of …

Performance analysis of one‐step prediction‐based cognitive jamming in jammer‐radar countermeasure model

L Gao, L Liu, Y Cao, S Wang… - The Journal of …, 2019 - Wiley Online Library
Strong adaptive radar, such as cognitive radar (CNR), can perform various missions while
ensuring its own security in electronic warfare, via detecting environments and changing the …

Ground threat evaluation and jamming allocation model with Markov chain for aircraft

L Han, Q Ning, B Chen, Y Lei… - IET Radar, Sonar & …, 2020 - Wiley Online Library
This study proposes a ground‐based threat probability model based on a Markov chain to
evaluate multiple ground threats faced by the platform during flight. On this basis, a new …