Finding a New Balance Point: Intelligent Optimization of Multi-Target Cognitive Electronic Reconnaissance Strategy for Unmanned Aerial Vehicles

Finding a New Balance Point: Intelligent Optimization of Multi-Target Cognitive Electronic Reconnaissance Strategy for Unmanned Aerial Vehicles

Netted radar system is used to implement detection of aerial targets to cover high-value military sites. To address the lack of an effective strategy for Unmanned Aerial Vehicles (UAVs) to perform Multi-Target Reconnaissance (MTR) against netted radar system, a reconnaissance pseudo-target is shaped...

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Bibliographic Details
Main Authors: Yun Zhang, Shixun You, Yunbin Yan, Qiaofeng Ou, Xiang Zhu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Cognitive electronic reconnaissance
multi-target electronic reconnaissance
deep reinforcement learning
reconnaissance strategy
netted radar system
Online Access:https://ieeexplore.ieee.org/document/10777084/
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https://ieeexplore.ieee.org/document/10777084/

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