雷达站站址误差对多机协同航迹欺骗干扰的影响分析

多机协同航迹欺骗干扰是专门针对雷达网的一种新的电子干扰手段。文章在介绍了多机协同航迹欺骗干扰基本原理的基础上,重点对雷达网内雷达站址误差对航迹欺骗干扰的影响进行了分析,推导了有关理论模型,并以融合中心采用K近似域(K-NN)航迹关联准则为背景,仿真分析了雷达站址误差对航迹欺骗干扰的影响,得出了雷达站址误差对航迹欺骗干扰性能有重要影响、但此影响随电子战飞机与雷达站间的距离增大而降低的结论。     

Analysis on Development of Air-launched Decoy

空射诱饵是以RCS信号模拟系统、雷达干扰机为载荷,对敌方地空防御武器系统中的雷达探测系统实施欺骗干扰和压制干扰的电子战武器.本文对空射诱饵发展进行了分析.概述了空射诱饵的发展情况,分析了空射诱饵作战使用方式,论述了空射诱饵发展方向和关键技术.     

假目标欺骗干扰无人机空域协同干扰策略研究

假目标欺骗干扰无人机是对抗防空雷达的新型武器装备,在电子战领域发挥着越来越重要的作用。对单架无人机干扰距离、无人机瞬时干扰区域以及假目标干扰区域进行建模分析,对假目标欺骗干扰无人机在掩护突防行动中的作战运用问题进行了研究。在此基础上,利用掩护通道对假目标欺骗干扰无人机群在方位面和俯仰面的空域协同进行了定量分析,对其空间部署策略进行了研究,为无人机群掩护空中力量突防的具体作战运用提供了参考,具有一定的指导意义。     

基于均值-方差联合检验的航迹欺骗干扰识别

以集中式融合结构雷达网为研究背景,从电子战飞机(ECAV)产生虚假航迹的原理出发,针对真/假航迹空间分布差异,提出了基于均值-方差联合检验的航迹欺骗干扰识别技术。首先分析了真/假航迹的统计特性差异,然后利用多个时刻航迹的坐标差,并通过坐标差的协方差阵对角化和归一化处理来构造检验样本,最后利用似然比统计检验的方法实现了虚假航迹的识别。仿真结果表明该技术能够对航迹欺骗干扰进行有效的识别,在雷达测距精度、测角精度变化的条件下仍能保持较高的识别率。     

基于傅里叶变换的航迹对准关联算法

研究了在组网雷达存在系统误差情况下的目标航迹关联问题,理论分析了雷达系统误差对目标航迹的影响,并将该影响表示为目标航迹的旋转和平移量。在此基础上,提出了一种基于傅里叶变换的系统误差配准前航迹对准关联算法,该算法将组网雷达的航迹数据看做为一种整体信息,采用傅里叶变换理论来估计和补偿组网雷达目标航迹数据到融合中心航迹数据的相对旋转量和平移量,将雷达网中雷达上报的目标航迹数据对准到融合中心,从而不依赖于估计雷达网系统误差,实现了误差配准前的航迹准确关联,能够为后端的系统误差配准提供可靠的关联目标航迹数据。     

舰载舷外雷达有源诱饵布放高度研究

舰载舷外雷达有源诱饵是对抗现代先进反舰导弹的有效方式,引起各个国家的关注重视。舰载舷外雷达有源诱饵通过有源欺骗干扰方式模拟被掩护舰船的雷达信号特征,引诱或欺骗敌跟踪和制导雷达。根据舰载舷外雷达有源诱饵的干扰机理,研究舷外雷达有源诱饵的最佳布放高度等布放策略,对部队作战使用和部队训练具有一定的参考价值。     

基于改进A-Star算法的隐身无人机快速突防航路规划

针对现代战争中隐身无人机（UAV）在高严密的组网雷达防御体系下的生存及突防问题,提出了基于改进A-Star算法的隐身无人机战区突防航路规划技术。首先对隐身无人机突防过程进行了分析建模,分别建立了隐身无人机的运动学模型、动态雷达散射截面特性和组网雷达探测概率的计算模型。然后针对传统算法在解决隐身突防问题时的不足,充分考虑所规划航路时的快速性和安全性要求,设计了改进A-Star算法。在算法中引入了多层变步长搜索策略和无人机的姿态角信息,结合秩K融合准则,通过每段航迹上隐身无人机被组网雷达系统的发现概率来判断新航迹点的可行性。仿真结果表明,改进A-Star算法能够在复杂的组网雷达系统下快速生成更优的战区突防航路,具有一定的应用价值。     

不同机载电子干扰条件下的飞机敏感性模型

对典型作战场景中雷达制导导弹威胁下的飞机敏感性进行了研究,分别从导弹发射和命中2个方面,建立了远距离支援干扰(SOJ)和自卫干扰(SPJ)条件下的飞机敏感性模型。首先分析了在典型电子对抗措施(ECM)和电子抗干扰措施(ECCM)条件下的雷达探测距离;其次提出了用于评价欺骗干扰的有效时间模型,结合典型制导律,建立了不同干扰条件下导弹命中分析的仿真模型;最后对不同干扰条件下的飞机敏感性进行了仿真实验。结果表明:电子干扰一定程度上能够降低非隐身战机的敏感性,但是对于低雷达散射截面(RCS)或者采用先进抗干扰措施的武器系统而言,电子干扰对飞机敏感性降低的作用有限甚至有害。研究结果对现役飞机通过电子干扰降低敏感性以及对在研飞机的敏感性设计具有一定的参考意义。     

基于归一化互相关的系统误差配准算法

雷达组网中由于系统误差存在,航迹不能正确关联,因而无法进行有效的误差配准。为了解决这一问题,理论分析了系统误差对目标航迹的影响并将该影响表示为目标航迹的旋转和平移量,结合图像信号时频域特性,提出了一种基于归一化互相关的误差配准算法。该算法采用归一化互相关来估计和补偿组网雷达目标航迹到融合中心航迹的相对旋转参数和平移参数,从而为后面的系统误差配准提供可靠的航迹关联数据。     

基于Doppler估计的弹载接收机抗欺骗干扰研究

GNSS接收机在军用方面尤其是高精度制导武器中的应用日益增强.针对卫星信号易受敌方欺骗信号干扰的问题,设计一种基于Doppler频率估计的弹载接收机抗欺骗干扰的方法.首先分析了欺骗干扰和真实信号的Doppler变化特点;然后在捕获阶段利用残留信号检测存在欺骗干扰的卫星编号;最后根据弹载的高动态特性,在跟踪阶段采取扩展 Kalman 滤波器(EKF)进行载波Doppler频率估计,并根据Doppler变化的相似性提取出欺骗信号.通过仿真实验验证,该方法可以有效排除欺骗信号的干扰.     

具有自动回溯的机动目标航迹精细化分段识别

机动目标航迹分段识别是判断目标行为意图的基础,然而现有航迹分段算法对模式变化检测能力弱,难以满足机动目标航迹快速精细化分段的需求。提出双层精细化航迹分段框架,预分段层检测目标运动过程中的模式切换,确定模式变化明显的预分段区,得到目标模式变化明显区域的预分段点;再分段层对模型差异小的非预分段区航迹进行回溯迭代优化再分段,得到更为精细的分段点。该框架具有从粗到精的航迹分段处理能力,实现了对于机动目标航迹的精细化分段识别。选取两个典型的目标机动仿真场景验证了所提算法的有效性,不仅减少了迭代优化时间,而且提高了分段识别精度。     

基于自适应神经模糊推理系统的导弹直/气复合控制系统设计

针对导弹直/气复合控制问题,提出了一种基于自适应神经模糊推理系统的导弹直/气复合控制系统设计方法.首先,建立了直/气复合导弹数学模型.然后,针对常规模糊控制设计严重依赖经验的问题,在模糊控制的基础上引入神经网络,通过样本数据学习建立自适应神经模糊推理系统(ANFIS),并设计了脉冲调宽调频调制器.最后,通过仿真试验验证了所提的控制系统设计方法.仿真结果表明,基于ANFIS的导弹直/气复合控制系统能够快速精确地跟踪加速度指令.     

Radar: the evolution since World War II

Modern radar design has benefited from the evolution of specialized digital processing, allowing high resolution ground mapping, target identification, and target tracking under many conditions. Air-to-air interception makes use of complex decision processes to select from many modes that depend on the clutter backgrounds and flight profiles. Today's multimode radars provide this information for each task while minimizing distractions. Fire control radars support a wide selection of weapons, including cannons and guided missiles. This is possible because of advanced digital processing. In the interval since WW II, radar design evolved from vacuum tubes to semiconductors and then to massively integrated circuits. Computers specialized for fast Fourier transforms (FFTs) have revolutionized radar data processing. System reliability has improved from a few hours to hundreds of hours. Effective built-in test informs ground maintenance personnel of problems for easy maintenance and low failure rates reduce or eliminate field maintenance benches at forward locations. Airborne surveillance radars, such as AW ACS Joint Stars have changed the nature of warfare. Commanders have virtually full view of enemy and friendly forces. Radars, in combination with other remote sensors, provide precise weapon delivery, reducing collateral damage and making all weapons more effective     

STABC-IR: An air target intention recognition method based on bidirectional gated recurrent unit and conditional random field with space-time attention mechanism

The battlefield environment is changing rapidly, and fast and accurate identification of the tactical intention of enemy targets is an important condition for gaining a decision-making advantage. The current Intention Recognition (IR) method for air targets has shortcomings in temporality, interpretability and back-and-forth dependency of intentions. To address these problems, this paper designs a novel air target intention recognition method named STABC-IR, which is based on Bidirectional Gated Recurrent Unit (BiGRU) and Conditional Random Field (CRF) with Space-Time Attention mechanism (STA). First, the problem of intention recognition of air targets is described and analyzed in detail. Then, a temporal network based on BiGRU is constructed to achieve the temporal requirement. Subsequently, STA is proposed to focus on the key parts of the features and timing information to meet certain interpretability requirements while strengthening the timing requirements. Finally, an intention transformation network based on CRF is proposed to solve the back-and-forth dependency and transformation problem by jointly modeling the tactical intention of the target at each moment. The experimental results show that the recognition accuracy of the jointly trained STABC-IR model can reach 95.7%, which is higher than other latest intention recognition methods. STABC-IR solves the problem of intention transformation for the first time and considers both temporality and interpretability, which is important for improving the tactical intention recognition capability and has reference value for the construction of command and control auxiliary decision-making system.     

基于区实序列变换的航迹关联算法

针对时变系统条件下的航迹关联问题,提出一种基于区实序列变换的关联算法。首先,利用线性最优化的方法,将上报航迹的不确定性描述为区间灰色序列;再在区实序列变换的基础上,利用实数序列间的灰关联度加权融合描述不同雷达上报航迹的关联相似度,通过判决给出关联结论。仿真结果显示了算法的有效性以及良好的抗差性能。     

Dominant scatterer identification testing with an integrated X-bandradar system

Radar return data from airborne jet aircraft were collected and analyzed to determine the presence of consistent, dominant radar returns of point scatterers on aircraft simulating landing conditions. These measurements were performed by integrating two separate X-band radars into one system with the ability to simultaneously track and image aircraft. Selected processed data from both radar systems were analyzed and are presented for the airborne jet aircraft