This study deals with the problem of mainlobe jamming suppression for rotated array radar.The interference becomes spatially nonstationary while the radar array rotates,which causes the mismatch between the weight and...This study deals with the problem of mainlobe jamming suppression for rotated array radar.The interference becomes spatially nonstationary while the radar array rotates,which causes the mismatch between the weight and the snapshots and thus the loss of target signal to noise ratio(SNR)of pulse compression.In this paper,we explore the spatial divergence of interference sources and consider the rotated array radar anti-mainlobe jamming problem as a generalized rotated array mixed signal(RAMS)model firstly.Then the corresponding algorithm improved blind source separation(BSS)using the frequency domain of robust principal component analysis(FDRPCA-BSS)is proposed based on the established rotating model.It can eliminate the influence of the rotating parts and address the problem of loss of SNR.Finally,the measured peakto-average power ratio(PAPR)of each separated channel is performed to identify the target echo channel among the separated channels.Simulation results show that the proposed method is practically feasible and can suppress the mainlobe jamming with lower loss of SNR.展开更多
The integrated communication and jamming(ICAJ)system recently has been proposed to enable communication and jamming(C&J)to reinforce each other in one system.By exploiting the diversity gain of multiple input mult...The integrated communication and jamming(ICAJ)system recently has been proposed to enable communication and jamming(C&J)to reinforce each other in one system.By exploiting the diversity gain of multiple input multiple output(MIMO)technology,a specific implementation form of ICAJ system,called communication-aided collaborative jamming system,is designed to transmit C&J signals at the same time and frequency.Different from previous studies which overlook the jamming prior information acquisition process and assume that the prior information is perfect or with bounded error,this paper takes the non-cooperative characteristics of jamming and the consequent difficulty in prior information acquisition into consideration.To analyze the tradeoff between C&J,the integration metric is proposed and then the corresponding system design problem is formulated.However,the non-convexity of problem and the lack of jamming prior information make the optimization tricky.In this case,blind channel estimation(BCE)is introduced to obtain an approximate channel state information(CSI)without interacting with jamming targets and then the neural network embedded with system performance calculation model is developed to establish the correspondence between the estimated CSI and optimal beamforming design.Furthermore,a hybrid data-driven and model-based approach,blind channel estimation-deep learning(BCEDL),is proposed to accomplish the beamforming design based on unsupervised learning for ICAJ system in non-cooperative scenarios.The simulation results show that the BCE-DL algorithm outperforms the conventional algorithms in the presence of CSI estimation errors and is a flexible approach which takes the best of both data-driven and model-based methods to design the ICAJ system.展开更多
当干扰信号的空域和极化域特征与目标信号相似时,采用空极化域联合抗干扰技术在消除干扰的同时也会抑制目标信号,导致干扰对消后信干噪比(signal to interference plus noise ratio,SINR)低于雷达系统需求,从而形成干扰对消盲区。针对...当干扰信号的空域和极化域特征与目标信号相似时,采用空极化域联合抗干扰技术在消除干扰的同时也会抑制目标信号,导致干扰对消后信干噪比(signal to interference plus noise ratio,SINR)低于雷达系统需求,从而形成干扰对消盲区。针对这一现象,通过在空域、极化域与空极化域分别建立交替极化阵列对消盲区模型,推导了对消盲区位置和大小的数学表达式,从而给出了交替极化阵列对消盲区的数学表征方法。进而分析了交替极化阵列对消盲区的分布规律与影响因素,研究发现阵元间距能够显著影响交替极化阵列对消盲区的分布,在相同条件下交替极化阵列对消盲区大于共点极化阵列对消盲区,结果表明交替极化阵列虽然通过减少天线数目降低了设备成本,但增大了阵列的对消盲区。然后,对消盲区模型进行了数值仿真,仿真结果验证了理论分析。最后,利用信道模拟器搭建了实验平台,信道模拟实验测得的对消盲区与理论值基本一致,再次证明了分析结论的有效性。展开更多
针对雷达主瓣干扰抑制问题,提出一种基于信干噪比(signal to interference plus noise ratio,SINR)最大化的盲提取主瓣干扰抑制方法。与盲分离不同,盲提取能够从多路混合信号中提取出感兴趣的一路分量,这更适合在多信源多通道的复杂电...针对雷达主瓣干扰抑制问题,提出一种基于信干噪比(signal to interference plus noise ratio,SINR)最大化的盲提取主瓣干扰抑制方法。与盲分离不同,盲提取能够从多路混合信号中提取出感兴趣的一路分量,这更适合在多信源多通道的复杂电磁环境下进行干扰抑制。该方法在混合信号距离域建立SINR最大化的优化模型,采用粒子群优化(particle swarm optimization,PSO)算法进行求解并提取出目标回波信号实现主瓣干扰抑制。经仿真测试,该方法相较于传统的盲分离干扰抑制方法,提升了干扰抑制效果;无需信源数目估计,对通道数目要求更低,在欠定场景中依然适用;减小了计算复杂度,更适用于复杂电磁环境。展开更多
多次移频干扰是一种有效的对抗线性调频(LFM)脉冲压缩雷达的相干干扰样式,应用于自卫式干扰时,能够形成多个超前和滞后分布的假目标。提出利用盲源分离(BSS)的方法来分离回波和干扰信号,并通过频率补偿实现对干扰的抑制。首先分析了利...多次移频干扰是一种有效的对抗线性调频(LFM)脉冲压缩雷达的相干干扰样式,应用于自卫式干扰时,能够形成多个超前和滞后分布的假目标。提出利用盲源分离(BSS)的方法来分离回波和干扰信号,并通过频率补偿实现对干扰的抑制。首先分析了利用正交极化辅助天线扩展接收通道的可行性,其次建立了通道扩展后的雷达接收信号模型,讨论了回波与干扰信号的可分离性,最后研究了基于最大信噪比盲源分离和频率补偿的干扰抑制方法,并讨论了干扰机附加噪声对抗干扰效果的影响。仿真结果表明本文提出的方法在干信比为20 d B时,仍可以有效地从回波和干扰混叠信号中提取出目标回波信号,从而实现对主瓣移频干扰的对抗。展开更多
基金supported by the National Natural Science Foundation of China(62271255,61871218,61801211)the Fundamental Research Funds for the Central Universities(3082019NC2019002,NG2020001,NP2014504)+2 种基金the Open Research Fund of State Key Laboratory of Space-Ground Integrated Information Technology(2018_SGIIT_KFJJ_AI_03)the Funding of Postgraduate Research Practice&Innovation Program of Jiangsu Province(KYCX200201)the Open Research Fund of the Key Laboratory of Radar Imaging and Microwave Photonics(Nanjing University of Aeronautics and Astronautics),Ministry of E ducation(NJ20210001)。
文摘This study deals with the problem of mainlobe jamming suppression for rotated array radar.The interference becomes spatially nonstationary while the radar array rotates,which causes the mismatch between the weight and the snapshots and thus the loss of target signal to noise ratio(SNR)of pulse compression.In this paper,we explore the spatial divergence of interference sources and consider the rotated array radar anti-mainlobe jamming problem as a generalized rotated array mixed signal(RAMS)model firstly.Then the corresponding algorithm improved blind source separation(BSS)using the frequency domain of robust principal component analysis(FDRPCA-BSS)is proposed based on the established rotating model.It can eliminate the influence of the rotating parts and address the problem of loss of SNR.Finally,the measured peakto-average power ratio(PAPR)of each separated channel is performed to identify the target echo channel among the separated channels.Simulation results show that the proposed method is practically feasible and can suppress the mainlobe jamming with lower loss of SNR.
基金supported by the National Natural Science Foundation of China(No.62171462,No.62401626,No.62271501)the Key Technologies R&D Program of Jiangsu(Prospective and Key Technologies for Industry)under Grants BE2023022 and BE2023022-4the Natural Science Foundation of Jiangsu Province(No.BK20240200)。
文摘The integrated communication and jamming(ICAJ)system recently has been proposed to enable communication and jamming(C&J)to reinforce each other in one system.By exploiting the diversity gain of multiple input multiple output(MIMO)technology,a specific implementation form of ICAJ system,called communication-aided collaborative jamming system,is designed to transmit C&J signals at the same time and frequency.Different from previous studies which overlook the jamming prior information acquisition process and assume that the prior information is perfect or with bounded error,this paper takes the non-cooperative characteristics of jamming and the consequent difficulty in prior information acquisition into consideration.To analyze the tradeoff between C&J,the integration metric is proposed and then the corresponding system design problem is formulated.However,the non-convexity of problem and the lack of jamming prior information make the optimization tricky.In this case,blind channel estimation(BCE)is introduced to obtain an approximate channel state information(CSI)without interacting with jamming targets and then the neural network embedded with system performance calculation model is developed to establish the correspondence between the estimated CSI and optimal beamforming design.Furthermore,a hybrid data-driven and model-based approach,blind channel estimation-deep learning(BCEDL),is proposed to accomplish the beamforming design based on unsupervised learning for ICAJ system in non-cooperative scenarios.The simulation results show that the BCE-DL algorithm outperforms the conventional algorithms in the presence of CSI estimation errors and is a flexible approach which takes the best of both data-driven and model-based methods to design the ICAJ system.
文摘当干扰信号的空域和极化域特征与目标信号相似时,采用空极化域联合抗干扰技术在消除干扰的同时也会抑制目标信号,导致干扰对消后信干噪比(signal to interference plus noise ratio,SINR)低于雷达系统需求,从而形成干扰对消盲区。针对这一现象,通过在空域、极化域与空极化域分别建立交替极化阵列对消盲区模型,推导了对消盲区位置和大小的数学表达式,从而给出了交替极化阵列对消盲区的数学表征方法。进而分析了交替极化阵列对消盲区的分布规律与影响因素,研究发现阵元间距能够显著影响交替极化阵列对消盲区的分布,在相同条件下交替极化阵列对消盲区大于共点极化阵列对消盲区,结果表明交替极化阵列虽然通过减少天线数目降低了设备成本,但增大了阵列的对消盲区。然后,对消盲区模型进行了数值仿真,仿真结果验证了理论分析。最后,利用信道模拟器搭建了实验平台,信道模拟实验测得的对消盲区与理论值基本一致,再次证明了分析结论的有效性。
文摘针对雷达主瓣干扰抑制问题,提出一种基于信干噪比(signal to interference plus noise ratio,SINR)最大化的盲提取主瓣干扰抑制方法。与盲分离不同,盲提取能够从多路混合信号中提取出感兴趣的一路分量,这更适合在多信源多通道的复杂电磁环境下进行干扰抑制。该方法在混合信号距离域建立SINR最大化的优化模型,采用粒子群优化(particle swarm optimization,PSO)算法进行求解并提取出目标回波信号实现主瓣干扰抑制。经仿真测试,该方法相较于传统的盲分离干扰抑制方法,提升了干扰抑制效果;无需信源数目估计,对通道数目要求更低,在欠定场景中依然适用;减小了计算复杂度,更适用于复杂电磁环境。
文摘多次移频干扰是一种有效的对抗线性调频(LFM)脉冲压缩雷达的相干干扰样式,应用于自卫式干扰时,能够形成多个超前和滞后分布的假目标。提出利用盲源分离(BSS)的方法来分离回波和干扰信号,并通过频率补偿实现对干扰的抑制。首先分析了利用正交极化辅助天线扩展接收通道的可行性,其次建立了通道扩展后的雷达接收信号模型,讨论了回波与干扰信号的可分离性,最后研究了基于最大信噪比盲源分离和频率补偿的干扰抑制方法,并讨论了干扰机附加噪声对抗干扰效果的影响。仿真结果表明本文提出的方法在干信比为20 d B时,仍可以有效地从回波和干扰混叠信号中提取出目标回波信号,从而实现对主瓣移频干扰的对抗。
