基于DRFM的抗干扰技术研究及其监测系统设计

发布时间：2018-10-29 11:38

【摘要】：随着雷达信息技术不断的进步,将来战争的胜利更取决于信息对抗的能力。自问世以来,电子对抗尤其是雷达之间的对抗相当激烈,各种新型武器都需要借助雷达来侦察、干扰、损坏敌方雷达及其武器系统,只有最大限度地挖据和利用雷达系统所获取的信息,才能提高雷达抗干扰能力,进而适应复杂多变的战场环境。本文在研究DRFM噪声压制干扰和欺骗性干扰的特性和产生基础上,针对每个干扰方式进行对应的抗干扰算仿真,并设计一种雷达信号监测系统,更方便直观的监测雷达干扰信号和目标回波信号,从而有利于监测。主要包括以下几个方面:(1)介绍DRFM的工作原理,然后分析DRFM量化方式(即:单通道幅度量化和正交双通道幅度量化),并分析DRFM存储方式(即:全脉冲存储、式样脉冲存储和慢刷新率脉冲存储),最后研究DRFM干扰的主要指标并对其特性进行分析。(2)介绍噪声压制式干扰的分类及产生,主要对调幅干扰和调频干扰的特征进行分析,并分别分析这两种干扰信号产生过程,在此基础上,研究频率对消的抗调幅干扰和小波变换的抗调频干扰的算法,并通过仿真验证抗干扰方法的可行性。(3)简述雷达欺骗性干扰的原理,并分析欺骗性干扰对雷达的作用,然后简要介绍欺骗性干扰的主要样式,然后简要分析SV-LFM信号及其特性,在此基础上研究抗距离假目标干扰算法与抗距离波门拖引干扰,并重点研究直接脉压匹配法和三步匹配滤波算法,通过仿真实验对算法进行验证,从而验证该算法的可行性。(4)根据雷达抗干扰设计出一种监测信号系统,利用.Net平台搭建环境,介绍该系统的总体思路以及系统结构,将雷达接收的传输信号存储,然后通过解析XML文件获得信号参数展示在列表或图形中,有选择性的进行监测,并对需要进一步分析的信号可以存储在数据库中,可以通过查询工具快速找到信号,也可以将其重新放入列表或图形中进行回放。最后以直接脉压匹配法的抗距离欺骗干扰为基础,对设计的雷达信号监测系统的可行性进行验证,经过多次调试最终达到目标信号,抑制了干扰信号。最终通过仿真分别验证抗噪声压制干扰和抗欺骗性干扰的算法,并与设计的雷达防干扰信号监测系统测试的结果相比较,进一步说明该系统的可行性,符合抗干扰的要求。
[Abstract]:With the development of radar information technology, the victory of future war depends on the ability of information countermeasure. Since its inception, electronic warfare, especially between radars, has been quite intense. All kinds of new types of weapons need radar to detect, interfere with and damage enemy radars and their weapon systems. Only by digging the data to the maximum extent and using the information obtained by radar system can the anti-jamming ability of radar be improved, and then the radar can adapt to the complex and changeable battlefield environment. On the basis of studying the characteristics and generation of DRFM noise suppression jamming and deceptive jamming, this paper carries out the corresponding anti-jamming simulation for each jamming mode, and designs a radar signal monitoring system. It is convenient and intuitionistic to monitor radar jamming signal and target echo signal. The main contents are as follows: (1) introduce the working principle of DRFM, then analyze the quantization mode of DRFM (that is, single channel amplitude quantization and quadrature double channel amplitude quantization), and analyze the DRFM storage mode (that is, full pulse storage). Model pulse storage and slow refresh rate pulse storage). Finally, the main indexes of DRFM interference are studied and its characteristics are analyzed. (2) the classification and generation of noise suppression jamming are introduced. The characteristics of amplitude modulation jamming and frequency modulation jamming are analyzed, and the process of producing these two kinds of interference signals are analyzed respectively. On this basis, the anti-amplitude interference of frequency cancellation and the anti-FM jamming algorithm of wavelet transform are studied. The feasibility of anti-jamming method is verified by simulation. (3) the principle of deceptive jamming of radar is briefly described, and the function of deceptive jamming to radar is analyzed, and then the main patterns of deceptive jamming are introduced briefly. Then, the SV-LFM signal and its characteristics are briefly analyzed. On this basis, the anti-range false target jamming algorithm and the range gate towing interference are studied, and the direct pulse compression matching method and the three-step matched filtering algorithm are emphatically studied. The feasibility of the algorithm is verified by simulation experiments. (4) according to radar anti-jamming, a monitoring signal system is designed. The environment is built by using .Net platform, and the general idea and structure of the system are introduced. The transmitted signals received by the radar are stored, and then the signal parameters obtained by parsing the XML file are displayed in the list or graph, which can be selectively monitored, and the signals that need further analysis can be stored in the database. You can quickly find the signal through the query tool, or you can put it back in a list or graph for playback. Finally, the feasibility of the radar signal monitoring system is verified based on the direct pulse pressure matching method to resist range deception jamming. After many debugging, the target signal is finally achieved and the jamming signal is suppressed. Finally, the algorithms of anti-noise suppression jamming and anti-deceptive jamming are verified by simulation, and compared with the test results of the radar anti-jamming signal monitoring system, it is further proved that the system is feasible and meets the requirements of anti-jamming.
【学位授予单位】：成都理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN974

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