Fast adaptive jamming resource allocation against frequency-hopping spread spectrum in wireless sensor networks via meta deep reinforcement learning
N Rao, H Xu, Z Qi, D Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Partial-band noise jamming is an important countermeasure against frequency-hopping
spread spectrum technology in wireless sensor networks, and the jamming resource …
spread spectrum technology in wireless sensor networks, and the jamming resource …
Open Set Learning for RF-based Drone Recognition via Signal Semantics
The abuse of drones has raised critical concerns about public security and personal privacy,
bringing an urgent requirement for drone recognition. Existing radio frequency (RF)-based …
bringing an urgent requirement for drone recognition. Existing radio frequency (RF)-based …
对抗智能干扰的主动防御技术
冯智斌， 徐煜华， 杜智勇， 刘鑫， 李文， 韩昊… - 通信 …, 2022 - infocomm-journal.com
在复杂电磁对抗环境下, 干扰的智能化发展给无线通信造成了严重威胁, 而传统抗干扰方法往往
都是被动地调整工作模式或参数, 在面对智能干扰时处于劣势甚至被压制. 针对此问题 …
都是被动地调整工作模式或参数, 在面对智能干扰时处于劣势甚至被压制. 针对此问题 …
Spectrum Sensing With Deep Clustering: Label-Free Radio Access Technology Recognition
L Milosheski, M MohorčIč… - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
The growth of the number of connected devices and network densification is driving an
increasing demand for radio network resources, particularly Radio Frequency (RF) …
increasing demand for radio network resources, particularly Radio Frequency (RF) …
Efficient Jamming Resource Allocation Against Frequency-Hopping Spread Spectrum in WSNs with Asynchronous Deep Reinforcement Learning
N Rao, H Xu, D Wang, Z Qi, Y Zhang… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Jamming against frequency-hopping spread spectrum (FHSS) in wireless sensor networks
(WSNs) has been primarily investigated with the follower jamming mode. However …
(WSNs) has been primarily investigated with the follower jamming mode. However …
Direction Estimation of the Attacked Signal in PBCH of 5G NR
M Kazemian, T Dagiuklas… - IEEE Communications …, 2024 - ieeexplore.ieee.org
This letter investigates the jamming attack in the physical broadcast channel (PBCH) of the
fifth generation (5G) new radio (NR) that conveys critical information of the cell called master …
fifth generation (5G) new radio (NR) that conveys critical information of the cell called master …
基于样本信息熵辅助的深度强化学习抗干扰策略
李刚， 吴麒， 王翔， 罗皓， 李良鸿， 景小荣… - 通信学报, 2024 - infocomm-journal.com
针对深度强化学习驱动的智能化干扰, 提出了一种基于样本信息熵辅助的通信抗干扰策略. 首先,
基于神经网络对抗干扰策略网络和熵预测网络进行设计; 接着, 利用短时傅里叶变换对接收信号 …
基于神经网络对抗干扰策略网络和熵预测网络进行设计; 接着, 利用短时傅里叶变换对接收信号 …
基于对抗互易点学习的无人机通信干扰开集识别方法.
李佳浩， 杜子铭， 周博， 李婕… - Journal of Signal …, 2024 - search.ebscohost.com
无人机通信由于空对地无线信道的开放性, 易受到各种有源或无源的物理层干扰,
这些干扰会严重影响无人机通信的性能, 导致无人机通信质量下降甚至通信中断等问题. 因此 …
这些干扰会严重影响无人机通信的性能, 导致无人机通信质量下降甚至通信中断等问题. 因此 …
Open-Set Jamming Pattern Recognition via Generated Unknown Jamming Data
G Wang, Y Gao - IEEE Signal Processing Letters, 2024 - ieeexplore.ieee.org
Jamming pattern recognition (JPR) is extensively investigated as a crucial aspect of anti-
jamming in wireless communication. However, with the emergence of unknown malicious …
jamming in wireless communication. However, with the emergence of unknown malicious …
[PDF][PDF] 基于超球面三元组编码的干扰模式开集识别
高玉龙， 王国强， 王钢 - 电子与信息学报, 2024 - jeit.ac.cn
干扰模式识别是现代军事通信对抗中必不可少的一环, 随着复杂电磁环境当中各种新型恶意干扰
样式层出不穷, 对于未知型干扰的判决也变得愈发重要. 因此, 要求干扰模式识别算法保持对于已 …
样式层出不穷, 对于未知型干扰的判决也变得愈发重要. 因此, 要求干扰模式识别算法保持对于已 …