Application of uniform DFT filter bank in radar jamming system

The principle of uniform DFT filter bank is presented. Exploiting poly-phase structure, radar jamming system samples the intercepted wideband radar signals through analysis filter bank by different channels and linearly modulates the intercepted radar signal according to the theory of signal and system, then synthesizes the jamming signal through the synthesis filter hank. The method merely requires lower sample frequency, reduces the computational complexity and the data quantity to be processed. The un-ideal filter＇s influence to the result of signals processing is analyzed by simulating the match filter in radar jamming system.

Photonics-assisted joint radar jamming and secure communication in the millimeter-wave band based on CE-LFM-OFDM

This paper reports a photonics-assisted millimeter-wave (mm-wave) joint radar jamming and secure communication system constructed through a photonic upconversion technique. In the experiments, a 30 GHz constant envelope linear frequency-modulated orthogonal frequency division modulation(CE-LFM-OFDM) signal with an instantaneous bandwidth of 1 GHz is synthesized by encoding 1 GBaud encrypted 16-quadrature amplitude modulation(16-QAM) OFDM signal. The velocity deception jamming is achieved with a spurious suppression ratio over 30 dB. Furthermore, we efficiently execute range deception jamming with a time shift of 10 ns. Simultaneously, the encrypted 16-QAM OFDM signal is successfully transmitted over a 1.2 m wireless link, with a data rate of 4 Gbit/s.

Stepped frequency chirp signal imaging radar jamming using two-dimensional nonperiodic phase modulation

Stepped frequency chirp signal obtains high-resolution radar images by synthesizing multiple narrowband chirp pulses.It has been one of the most commonly used wideband radar waveforms due to its lower demand for radar instant bandwidth.In this paper,we propose a radar jamming method using two-dimensional nonperiodic phase modulation against stepped frequency chirp signal imaging radar.Using the unique property of nonperiodic phase modulation,the proposed method can generate high-level sidelobes that perform as a special blanket jamming along both the range and azimuth directions and make the target unrecognizable.Then,the influence of different modulation parameters,such as the code width and duty ratio,are further discussed.Based on this,the corresponding parameter design principles are presented.Finally,the validity of the proposed method is demonstrated by the Yake-42 plane data simulation and measured unmanned aerial vehicle data experiment.

Parameters Design of Pull-off Deceptive Jamming to Terminal Guidance Radar

A deceptive pull-off jamming method to terminal guidance radar is put forward in this paper.The design rules about the important jamming parameters are discussed in detail,including the number of the decoy targets in range dimension,the velocity of the range gate pull-off,and the number of the decoy targets in velocity dimension and the velocity of the Doppler frequency pull-off.Also,the steps to design these parameters are brought out.The rules and design procedure discussed in this paper have important meaning for the choice of the reasonable jamming parameters in the practical applications,which can help to obtain good jamming effect.

Deceptive jamming suppression in multistatic radar based on coherent clustering

This paper proposes a suppression method of the deceptive false target(FT) produced by digital radio frequency memory(DRFM) in a multistatic radar system. The simulated deceptive false targets from DRFM cannot be easily discriminated and suppressed with traditional radar systems. Therefore, multistatic radar has attracted considerable interest as it provides improved performance against deception jamming due to several separated receivers. This paper first investigates the received signal model in the presence of multiple false targets in all receivers of the multistatic radar. Then, obtain the propagation time delays of the false targets based on the cross-correlation test of the received signals in different receivers. In doing so, local-density-based spatial clustering of applications with noise(LDBSCAN) is proposed to discriminate the FTs from the physical targets(PTs) after compensating the FTs time delays, where the FTs are approximately coincident with one position, while PTs possess small dispersion.Numerical simulations are carried out to demonstrate the feasibility and validness of the proposed method.

Chaff Jamming Recognition of Radar

A modified chaff jamming recognition method of radar is investigated using grey relational analysis（ GRA） based on the difference in echo correlation characteristics between a complex rigid target and chaff cloud in time domain. Slice method（ SM）,a novel modeling approach,is proposed to construct an electromagnetic scattering model of chaff cloud in a scenario with slowly moving platform that is targeted. The diffusion characteristics and echo characteristics of the chaff cloud are analyzed. The GRA of a real target and chaff cloud shows that the adjacent return waves have a good correlation for the target but a weak correlation for chaff cloud. Since the correlation degree of chaff cloud＇s echo is far lower than that of a complex rigid target＇s,the chaff jamming can be identified by setting a reasonable threshold. Simulation results are presented to verify the effectiveness of this method.

A Class of Chaotic Sequences with Gauss Probability Distribution for Radar Mask Jamming

A simple generation approach for chaotic sequences with Gauss probability distribution is proposed. Theoretical analysis and simulation based on Logistic chaotic model show that the approach is feasible and effective. The distribution characteristics of the novel chaotic sequence are comparable to that of the standard normal distribution. Its mean and variance can be changed to the desired values. The novel sequences have also good randomness. The applications for radar mask jamming are analyzed.

一种基于目标RCS起伏模型的雷达干扰效果评估方法

目前,在雷达干扰效果评估的相关研究中,大多将雷达探测目标的雷达截面积(RCS)设为常数。实际上,目标的RCS是起伏的,会影响干扰效果。基于此,论文中提出了一种基于RCS起伏模型的雷达干扰效果评估方法,通过理论分析得到了目标RCS起伏条件下的干信比概率密度函数模型,进而推导提出了目标RCS起伏条件下的有效干扰概率模型,并运用该模型对不同场景下的干扰效果进行了仿真评估,为干扰策略优化提供了有效支撑。

基于多维小波特征的有源雷达欺骗干扰识别

针对跟踪工作模式下常见雷达有源欺骗干扰识别问题,通过分析雷达信号和干扰模型,提出一种基于多维小波特征的识别算法。对目标回波多个相干处理间隔中的首个脉冲重复间隔内信号采样累积,构成一维离散序列,利用Mallat算法提取多尺度小波系数,计算不同尺度下小波系数的移位相关系数,并组成特征向量用于分类识别。构建不同参数的信号样本仿真,在信噪比为-5 dB时仍有高于80%的识别正确率。该算法能将距离假目标干扰和距离拖引干扰有效识别,证明了算法的准确性、通用性和严谨性。此外,针对实际情况,可以调整特征向量维度,选择更适合的母小波函数,进一步优化干扰识别效果。

高对抗强博弈场景下雷达波形设计思路

未来陆域突击作战中高对抗强博弈场景使得雷达与目标间博弈日趋激烈,雷达波形作为雷达装备的核心和基础特征,将是提高雷达对目标检测性能的关键因素。该文首先梳理高对抗强博弈场景下的军事需求和发展现状,然后从波形产生与处理、目标和环境信息参数化建模、波形博弈方法等方面展开讨论,可为雷达在复杂电磁环境下如何提升装备作战效能提供设计参考。

基于KM算法的转发式干扰辨识与抑制方法

转发式干扰是对截获的雷达信号进行调制后发射出去的干扰信号,它在空时频多域与目标回波存在强相关性。当雷达接收端进行信号处理时,此类干扰能够获得匹配滤波增益,形成若干个虚假目标,同时实现欺骗和压制2种干扰效果。联合频率捷变技术,利用聚类思想在脉压域实现干扰辨识与抑制。仿真实验表明,所提方法能够有效抑制干扰,且当干扰功率较大时,依然具有良好的抗干扰效果。

机载SAR受空/地转发干扰识别特征研究

鉴于当前还未有关于合成孔径雷达(SAR)受到空中机动平台产生的间歇采样转发干扰问题的相关研究,针对机载SAR受到来自空中机动/地面固定两类平台的间歇采样转发干扰的识别特征进行研究.首先推导了两类转发干扰的信号模型,从理论上对两类转发干扰的识别特征进行多域联合分析;然后采用基于WVD分布的时频分析方法和基于ω-K的SAR成像算法,从受干扰信号的时域、频域、时频域和图像域等四个维度对两种干扰样式进行了仿真和分析.仿真结果验证了理论分析的正确性,从而为机载SAR遭遇转发干扰时的样式识别提供了可靠的分析思路和识别依据,并进一步给出针对两类转发干扰的反制策略.

空天基合成孔径雷达多域抗干扰技术综述

合成孔径雷达(Synthetic Aperture Radar,SAR)是现代雷达技术发展的主要成就之一,具有全天候、全天时、高分辨率的特性,广泛应用于空基及天基各类平台。现代战场电磁环境日趋恶劣,电子战装备可以在多维度产生高强度、多样式和有针对性的电子干扰,极大制约了SAR作战效能的发挥,如何提高SAR抗干扰能力已成为当前国内外该领域研究热点。本文探讨了SAR常规抗干扰思路和优缺点,并以雷达信号发射和信号接收两个方面为主线,围绕空域、时域、频域、能量域、极化域以及数据处理域等多域,结合仿真和试验数据分析了典型空天基SAR抗干扰方法的实施效果,最后分析其未来的发展趋势,为以后的相关技术研究提供参考。

基于改进鲸鱼算法的多无人机协同欺骗干扰技术

多机协同对组网雷达系统进行航迹欺骗干扰属于大规模优化问题,往往需要利用群体智能算法优化无人机的飞行任务,然而采用传统群体智能算法优化时往往会出现收敛速度慢、求解精度低等问题。针对这一问题,对标准鲸鱼优化算法进行了改进,提出了一种基于改进鲸鱼优化算法的多无人机协同欺骗干扰技术。首先建立了多无人机协同欺骗干扰组网雷达的数学模型以及对应的优化函数,然后在标准鲸鱼优化算法的基础上引入了自适应惯性权值,提高了算法的全局搜索能力和收敛速度。仿真实验表明,固定无人机数量为9架时,利用改进鲸鱼、标准鲸鱼、粒子群、蚁群4种算法分别优化多机协同欺骗干扰模型,得出改进鲸鱼优化算法平均运行时间最短,迭代次数最少,同时优化产生的实际航迹与理论值误差最小;逐步增加无人机数量至20架,利用上述四种算法进行模型求解时得出改进鲸鱼优化算法在不同无人机架数的条件下产生的假目标航迹条数均优于其他3种算法。

基于改进MobileV3Net的脉冲雷达干扰识别方法

随着现代电子战的飞速发展,基于数字射频存储器转发的新型干扰层出不穷,如何快速有效地识别这类干扰成为现今研究的热点问题。针对于此,提出了一种基于改进MobileV3Net的脉冲雷达干扰识别研究,使用MobileV3Net作为基本网络框架,添加了动态卷积模块和高效通道注意力模块,实现了自动提取特征的小样本下8类干扰的有效识别。仿真结果表明,该网络的训练时间大大减少,且在轻量训练样本下依然能保持95%以上的识别准确率,在-10~10 dB下,平均识别率在99%以上,证明该方法具有更强的鲁棒性,更高的准确度,更好的轻量性。

基于时域编码超表面脉内-脉间编码优化的雷达干扰方法

时域编码超表面是一项可以对电磁波进行时变调制的新技术,针对该技术的调控特性,该文提出了一种基于时域编码超表面脉内-脉间编码优化的雷达干扰方法。首先分别在快时间域和慢时间域建立优化模型,通过优化脉内-脉间相位编码,实现目标能量的搬移,形成距离-多普勒二维图上的欺骗干扰。然后通过遗传算法对该离散优化模型进行求解。另外,该文从超表面编码策略的角度分析了多种调控因素对干扰效果的影响,为实现欺骗干扰的最佳策略提供指导。

一种基于深度强化学习的频率捷变雷达智能频点决策方法

自卫式干扰机发射的瞄准干扰使多种基于信号处理的被动干扰抑制方法失效,对现代雷达产生了严重威胁,频率捷变作为一种主动对抗方式为对抗瞄准干扰提供了可能。针对传统随机跳频抗干扰性能不稳定、频点选取自由度有限、策略学习所需时间长等问题,该文面向频率捷变雷达,提出了一种快速自适应跳频策略学习方法。首先设计了一种频点可重复选取的频率捷变波形,为最优解提供了更多选择。在此基础上,通过利用雷达与干扰机持续对抗收集到的数据,基于深度强化学习的探索与反馈机制,不断优化频点选取策略。具体来说,通过将上一时刻雷达频点及当前时刻感知到的干扰频点作为强化学习输入,神经网络智能选取当前时刻各子脉冲频点,并根据目标检测结果以及信干噪比两方面评价抗干扰效能,从而优化策略直至最优。从提高最优策略收敛速度出发,设计的输入状态不依赖历史时间步、引入贪婪策略平衡搜索-利用机制、配合信干噪比提高奖励差异。多组仿真实验结果表明,所提方法能够收敛到最优策略且具备较高的收敛效率。

方位向调制干扰对高分宽幅多通道SAR的影响

多通道合成孔径雷达(synthetic aperture radar,SAR)能够利用方位向多通道重构处理去除多普勒模糊,获得高分宽幅SAR图像。针对此特殊的多通道重构处理方式,研究了传统SAR方位向调制干扰对高分宽幅多通道SAR的影响,包括多普勒调制干扰和脉冲延迟转发干扰两种类型的方位向调制干扰方式,为高分宽幅多通道SAR干扰决策提供理论基础。理论分析指出,多普勒调制干扰信号经成像处理后将在方位向生成等间隔分布的虚假目标,并且幅度受与多普勒调制频率相关的正弦函数和匹配滤波损失联合调制;而脉冲延迟转发干扰信号在成像后将只有单个干扰目标出现,且目标的方位位置仅与延迟的脉冲数有关。仿真实验验证了理论分析的正确性。

雷达干扰信号弹道参数变化量分析方法

本文中从模拟弹道导弹突防中末段对抗场景出发,依据弹道导弹的弹道特性以及突防中所产生的干扰信号延时特征,提出了一种雷达干扰信号弹道参数变化量的分析方法。通过提取有效的轨道数据,确定干扰信号的位置,计算干扰信号的轨道,定量地分析干扰信号的弹道参数的变化结果。结果表明,雷达干扰信号的轨迹能形成稳定逼真的弹道,所提出的方法对选择更优的弹道导弹突防策略有指导意义。

基于FMI协议的模块化雷达干扰仿真

针对传统作战分析方法下雷达干扰仿真难以动态呈现干扰效果及威力范围变化,仿真环境中模型拓展性不强的问题,提出了一种模块化仿真分析方法。仿真框架采用FMI协议进行模块化建模,利用STK中运行的时空信息系统发送数据给仿真平台进行联合仿真,并将仿真结果实时显示在时空信息系统中。通过构建雷达对抗环境下的FMU模型,实现干扰条件下雷达威力范围的动态可视化仿真和雷达探测概率仿真。结果表明该模块化仿真方法可行,能为战场分析提供更加准确的指导。