雷达有源干扰类型判别研究与实现

发布时间：2018-05-20 14:08

本文选题：雷达对抗 + 有源干扰　；参考：《西安电子科技大学》2014年硕士论文

【摘要】：当代信息化战争是一个复杂的开放的巨量维系统,是参战各方的综合对抗。信息化战争不仅突出信息和信息技术在战争中的主导作用,而且十分强调武器装备的智能化与自动化。陆、海、空、天一体的武器装备在雷达系统的支援和控制下完成精确制导、导航、预警、目标定位、跟踪等作战任务,对敌对目标实施准确有效的打击。作为信息化战争的重要组成部分,雷达对抗是通过电子侦察获取敌方作战装备雷达系统的技术参数和军事部署情报,并利用电子干扰、电子欺骗和电子进攻等手段达到削弱、破坏敌方雷达作战效能,保护己方雷达作战效能的目的。雷达对抗的实质是在平衡和保护己方雷达系统的同时,通过影响敌方的雷达系统,获取进攻和防御上的优势。随着电子技术的迅速发展,雷达有源干扰已经成为一种极有力的对抗措施,在信息化战争中得到了广泛的应用。因此,能够通过对信号进行处理判别出有源干扰的类型,获取干扰信息,对于针对性地实施干扰对抗,保证己方雷达的战场生存至关重要。本论文针对干扰对抗的实际需求,对雷达有源干扰展开研究,利用干扰信号特征,实现了有源干扰类型的判别,具有重要的实际意义。首先,在参阅多年来国内外专家学者在雷达干扰对抗领域的研究资料的基础上,对现有的一些雷达有源干扰类型判别方法进行了简单的概括。并针对实际应用中所存在的不足阐明了研究的实用价值。其次,介绍了常见的雷达干扰分类标准,并对典型的雷达有源干扰信号做出介绍,讨论分析了压制式干扰中的射频噪声干扰、噪声调频干扰、噪声调幅干扰与噪声调相干扰以及欺骗式干扰中的距离欺骗式干扰、速度欺骗式干扰与角度欺骗式干扰的物理原理与数学模型,为干扰的特征分析打下理论基础。再次,对常见类型的干扰信号在时域、频域和其它变换域上的特征参数进行了分析讨论,借助仿真实验给出了特征参数取值的分布情况。接着对决策树分类方法和神经网络分类方法的原理进行了详细介绍,结合所得到的干扰特征完成了干扰信号类型的判别,同时通过仿真实验讨论了影响判别结果的不同因素,为干扰特征的选取提供了依据。最后,对MATLAB软件和其中的GUI开发工具做出了简单介绍,利用GUI工具设计编写了雷达有源干扰信号类型自动判别软件,对判别软件的各个组成模块和软件处理流程进行了详细介绍,实现了有源干扰类型的自动判别。
[Abstract]:The modern information war is a complex and open huge dimensional system, which is a comprehensive confrontation between the parties involved in the war. Information war not only highlights the leading role of information and information technology in the war, but also emphasizes the intelligence and automation of weapons and equipment. With the support and control of radar system, land, sea, air and sky weapons complete the combat tasks of precision guidance, navigation, early warning, target positioning and tracking, and carry out accurate and effective attack on enemy targets. As an important part of information warfare, radar countermeasure is to obtain the technical parameters and military deployment information of the enemy's operational equipment radar system through electronic reconnaissance, and to weaken the radar system by means of electronic jamming, electronic deception and electronic attack. The purpose of destroying enemy radar operational effectiveness and protecting our own radar operational effectiveness. The essence of radar countermeasure is to gain the advantage of attack and defense by influencing the enemy's radar system while balancing and protecting our radar system. With the rapid development of electronic technology, radar active jamming has become a powerful countermeasure, and has been widely used in information warfare. Therefore, it is very important to distinguish the type of active jamming and obtain jamming information by processing the signal, which is very important to implement jamming countermeasure and ensure the battlefield survival of our radar. Aiming at the actual demand of jamming countermeasure, this paper studies the radar active jamming, and makes use of the characteristics of jamming signal to distinguish the type of active jamming, which is of great practical significance. Firstly, on the basis of the research data of domestic and foreign experts and scholars in the field of radar jamming countermeasures over the years, some existing methods of discriminating radar active jamming types are briefly summarized. The practical value of the research is explained in view of the deficiency in practical application. Secondly, the common radar jamming classification standards are introduced, and the typical radar active jamming signals are introduced. The radio frequency noise jamming and the noise frequency modulation jamming in the suppression jamming are discussed and analyzed. The physical principle and mathematical model of noise amplitude modulation interference, noise phase modulation interference and distance deception interference, velocity deception interference and angle deception interference are discussed, which lays a theoretical foundation for the characteristic analysis of interference. Thirdly, the characteristic parameters of common types of interference signals in time domain, frequency domain and other transform domain are analyzed and discussed, and the distribution of characteristic parameters is given by simulation experiments. Then, the principle of decision tree classification and neural network classification is introduced in detail, and the different factors influencing the discriminant results are discussed through simulation experiments. It provides a basis for the selection of interference features. Finally, the MATLAB software and GUI development tools are introduced briefly. The automatic discriminating software of radar active jamming signal type is designed and compiled by using GUI tool. The components of discriminant software and the processing flow of the software are introduced in detail, and the automatic discrimination of active jamming type is realized.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN974

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