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Cognitive J^(2)SAC:Joint Jamming,Sensing,and Communication Under Antagonistic Environment

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中国通信:英文版 2023年第9期20卷 78-95页

作者： Jiangchun GU guoru Ding Yizhen Yin Haichao Wang Yitao Xu Yehui Song College of Communications Engineering Army Engineering UniversityNanjing 210007China College of Joint Design and Innovation Xi’an Jiaotong UniversityXi’an 710049China

Integrated sensing and communication(ISAC)is regarded as a recent advanced technology,which is expected to realize the dual functions of sensing and communication simultaneously in one system.Nevertheless,it still faces the challenges of the information security and transmission robustness caused by the openness of wireless channel,especially under antagonistic environment.Hence,this article develops a generalized framework,named cognitive joint jamming,sensing and communication(cognitive J2SAC),to empower the current sensing/communication/jamming system with a“brain”for realizing precise sensing,reliable communication and effective jamming under antagonistic environment.Three kinds of gains can be captured by cognitive J2SAC,including integrated gain,cooperative gain and cognitive gain.Moreover,we highlight the enabling mechanism among jamming,sensing,and communication,as well as illustrating several typical use cases of cognitive J2SAC.Furthermore,several key enabled technologies are analyzed and a typical sensing enhance integrated communication and jamming case study is discussed to verify the effectiveness of the proposed method.Last but not the least,the future directions are listed before concluding this article.Integrated sensing and communication(ISAC)is regarded as a recent advanced technology,which is expected to realize the dual functions of sensing and communication simultaneously in one system.Nevertheless,it still faces the challenges of the information security and transmission robustness caused by the openness of wireless channel,especially under antagonistic environment.Hence,this article develops a generalized framework,named cognitive joint jamming,sensing and communication(cognitive J2SAC),to empower the current sensing/communication/jamming system with a“brain”for realizing precise sensing,reliable communication and effective jamming under antagonistic environment.Three kinds of gains can be captured by cognitive J2SAC,including integrated gain,cooperative gain and cognitive gain.Moreover,we

关键词： integrated sensing and communication(ISAC) information security joint jamming,sensing and communication(J2SAC) cognition theory

Joint Trajectory and Passive Beamforming Optimization in IRS-UAV Enhanced Anti-Jamming Communication Networks

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China Communications 2022年第5期19卷 191-205页

作者： Zhifeng Hou Jin Chen Yuzhen Huang Yijie Luo Ximing Wang Jiangchun GU Yifan Xu Kailing Yao PLA Army Engineering University Nanjing 210007China Artificial Intelligence Research Center Defense Innovation InstituteBeijing 100166China School of Information and Communication Beijing University of Posts and TelecommunicationsBeijing 100876China College of Information and Communication National University of Defense TechnologyWuhan 430010China

This paper investigates the anti-jamming communication scenario where an intelligent reflecting surface(IRS)is mounted on the unmanned aerial vehicle(UAV)to resist the malicious jamming attacks.Different from existing works,we consider the dynamic deployment of IRS-UAV in the environment of the mobile user and unknown jammer.Therefore,a joint trajectory and passive beamforming optimization approach is proposed in the IRS-UAV enhanced networks.In detail,the optimization problem is firstly formulated into a Markov decision process(MDP).Then,a dueling double deep Q networks multi-step learning algorithm is proposed to tackle the complex and coupling decision-making problem.Finally,simulation results show that the proposed scheme can significantly improve the anti-jamming communication performance of the mobile user.

关键词： intelligent reflecting surface unmanned aerial vehicle deep reinforcement learning trajectory optimization

Proactive optimization of transmission power and 3D trajectory in UAV-assisted relay systems with mobile ground users

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Chinese Journal of Aeronautics 2021年第5期34卷 129-144页

作者： Jiangchun GU guoru DING Yitao XU Haichao WANG Qihui WU School of Communications Engineering Army Engineering University of PLANanjing 210007China School of Electronic and Information Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China

In this paper,an Unmanned Aerial Vehicle(UAV)-assisted relay communication system is studied,where a UAV is served as a flying relay to maintain a communication link between a mobile source node and a remote destination node.Specifically,an average outage probability minimization problem is formulated firstly,with the constraints on the transmission power of the source node,the maximum energy consumption budget,the transmission power,the speed and acceleration of the flying UAV relay.Next,the closed-form of outage probability is derived,under the hybrid line-of-sight and non-line-of-sight probability channel model.To deal with the formulated nonconvex optimization,a long-term proactive optimization mechanism is developed.In particular,firstly,an approximation for line-of-sight probability and a reformulation of the primal problem are given,respectively.Then,the reformulated problem is transformed into two subproblems:one is the transmission power optimization with given UAV’s trajectory and the other is the trajectory optimization with given transmission power allocation.Next,two subproblems are tackled via tailoring primal–dual subgradient method and successive convex approximation,respectively.Furthermore,a proactive optimization algorithm is proposed to jointly optimize the transmission power allocation and the three-dimensional trajectory.Finally,simulation results demonstrate the performance of the proposed algorithm under various parameter configurations.

关键词： Outage probability Primal-dual subgradient Proactive optimization Successive convex approximation Unmanned Aerial Vehicle(UAV)relay

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基于无人机群飞行轨迹优化的多辐射源追踪技术

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中国科学：技术科学 2023年第11期53卷 1895-1910页

作者：谷江春王海超丁国如邓亦敏中国人民解放军陆军工程大学通信工程学院南京210000 北京航空航天大学自动化科学与电气工程学院仿生自主飞行系统研究组北京100083

无人机具有成本低、机动性强等优势特性,近年来成为军用和民用领域中备受青睐的对象.为了使无人机能够快速、稳定、高效地完成不同的任务,安全、可靠的轨迹控制至关重要.本文针对无人机群赋能的多辐射源追踪问题,构建了多约束条件下的... 详细信息

无人机具有成本低、机动性强等优势特性,近年来成为军用和民用领域中备受青睐的对象.为了使无人机能够快速、稳定、高效地完成不同的任务,安全、可靠的轨迹控制至关重要.本文针对无人机群赋能的多辐射源追踪问题,构建了多约束条件下的无人机群轨迹优化模型,提出了估计、匹配、定位、追踪框架,并设计了一种基于深度强化学习的无人机群飞行轨迹优化算法.首先,采用深度神经网络估计信道模型,得到接收信号强度和距离之间的映射关系;其次,采用交互式方法生成接收信号强度矩阵,计算出对应的距离矩阵并得到无人机与辐射源匹配方案;然后,采用多球交汇定位方法,结合接收信号强度和距离之间的映射关系计算出辐射源的参考位置;进一步,将原始优化问题转换为马尔科夫决策过程,并将辐射源定位信息引入强化学习中,设计高效的无人机飞行轨迹优化算法.此外,引入群体熵对所提算法的智能性进行了分析和评估.最后,仿真结果对所提算法的平均飞行时间、任务完成率、智能性以及无人机群的轨迹分别进行了分析,验证了所提方法的有效性.

关键词：无人机辐射源定位与追踪轨迹优化强化学习群体熵

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通信约束下的干扰波束成形和功率分配方法

陆军工程大学学报 2022年第4期1卷 1-7页

作者：徐以涛刘继滕王海超杨旸谷江春丁国如陆军工程大学通信工程学院江苏南京210007

通扰一体是网络信息体系和网电攻防融合的重要手段之一。针对电子战中频谱环境复杂、通信质量无法保证、干扰信号难以灵活控制的问题,提出了一种通信约束下的干扰系统设计方法。利用多天线空分复用增益,同时进行信息传输与通信干扰,通... 详细信息

通扰一体是网络信息体系和网电攻防融合的重要手段之一。针对电子战中频谱环境复杂、通信质量无法保证、干扰信号难以灵活控制的问题,提出了一种通信约束下的干扰系统设计方法。利用多天线空分复用增益,同时进行信息传输与通信干扰,通过对波形的合理设计避免我方干扰信号对己方通信信号的影响,提高干扰效果的同时保证通信系统有效性。考虑基于零空间的干扰波束成形和干扰目标的威胁等级,建立了通扰一体的干扰效果最优化问题。在3种不同的先验信息条件下对优化问题进行求解。仿真结果表明,该方案充分利用了多天线的空分复用增益和干扰目标的各种先验信息,在对抗环境下避免了干扰信号对己方通信信号的影响,且在能耗相同的情况下能达到更好的干扰效果。

关键词：通扰一体设计空分复用半定松弛功率分配

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基于智能反射面的空地无源干扰技术

移动通信 2022年第6期46卷 99-104页

作者：彭玲徐以涛王海超谷江春丁国如陆军工程大学通信工程学院江苏南京210007 陆军工程大学江苏南京210007

近年来,智能反射面和无人机技术在无线通信领域中的应用给无源干扰带来了一种新的思路。提出一个基于智能反射面的空地无源干扰系统,通过无人机搭载智能反射面对地面一对通信用户进行实时干扰。具体地,考虑智能反射面相位和幅值以及无... 详细信息

近年来,智能反射面和无人机技术在无线通信领域中的应用给无源干扰带来了一种新的思路。提出一个基于智能反射面的空地无源干扰系统,通过无人机搭载智能反射面对地面一对通信用户进行实时干扰。具体地,考虑智能反射面相位和幅值以及无人机空间位置限制,首先建立了通信用户对的接收功率之和最小化问题。进一步,提出了一种基于交替优化的联合优化算法对所提问题迭代求解。仿真结果表明,与基准方案相比,所提算法降低了通信用户对的接收功率之和,实现了高效空地无源干扰。

关键词：智能反射面无源干扰无人机位置优化半定松弛

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面向通信和干扰一体化的用户匹配和功率分配

移动通信 2024年第6期48卷 46-51页

作者：陈宁亚田华王海超谷江春丁国如陆军工程大学

在群体通信对抗场景下，需同时保证己方通信和对非法通信目标进行干扰的性能。然而，当存在多个己方通信目标和多个非法通信目标时，单个己方发射机难以满足性能要求。针对这一挑战，构建一种多基站协同的通信和干扰一体化系统，并建立... 详细信息

在群体通信对抗场景下，需同时保证己方通信和对非法通信目标进行干扰的性能。然而，当存在多个己方通信目标和多个非法通信目标时，单个己方发射机难以满足性能要求。针对这一挑战，构建一种多基站协同的通信和干扰一体化系统，并建立一个干扰性能约束下的己方通信速率之和最大化数学问题。为求解该混合整数非线性规划问题，首先引入松弛变量将问题转化为具有等价目标函数的易处理形式，其次，利用一阶泰勒展开、罚函数法等方法将非凸约束转变为凸约束，然后，提出一种联合用户匹配和功率分配优化算法，并分析其收敛性。最后，仿真结果表明所提联合用户匹配和功率分配优化算法优于基准算法，同时讨论分析了用户数量、发射功率等参数对通信用户速率之和的影响。

关键词：群体对抗通信和干扰一体化用户匹配功率分配

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