雷达信号在线分选算法研究

发布时间：2018-01-08 11:16

本文关键词：雷达信号在线分选算法研究　出处：《西安电子科技大学》2014年硕士论文　论文类型：学位论文

【摘要】：雷达信号分选技术一直是雷达侦察技术领域研究的重点,随着相关雷达技术的飞速发展,其工作体制向着多样化、复杂化发展,对电子侦察性能造成严重的影响,同时对信号分选也提出了很高的要求,雷达信号的实时在线分选就是雷达信号分选中最复杂的问题之一。针对雷达信号分选研究方面存在的亟待解决的问题,本文主要对复杂电磁环境下的基于网格密度聚类的雷达信号在线分选算法进行了深入研究,并进行了算法仿真分析。主要研究内容包括以下几个方面:首先,对雷达侦察系统进行了分析,对其组成进行详细讨论,对分选所面临的环境以及信号的特征进行了深入地分析研究,对可以用来作为信号分选的参数进行了讨论。其次,从聚类理论出发,分别对两种典型的聚类方法进行介绍。着重介绍网格密度聚类的思想,对网格密度聚类算法中的关键技术进行了详细讲解。将算法的思想应用到雷达信号分选中,进行了相关的软件系统仿真,并对仿真结果进行分析,为下一步雷达信号在线分选打好基础。最后,在以上分析的基础上深入研究雷达信号的在线分选算法,对算法涉及的滑动窗口机制进行讨论,详细分析了在线分选的各个过程,最后在MATLAB上进行软件系统仿真,并对仿真结果进行详细分析。仿真结果表明,该雷达信号在线分选算法无需提前给定雷达辐射源的数目,基于网格密度聚类的思想,采用滑动窗口机制,可以在线动态地分选出密集交叠的雷达信号脉冲流,而且分选效率高。
[Abstract]:Radar signal sorting technology has been the focus of field reconnaissance radar, with the rapid development of related radar technology, the system of diversification, complex development, which caused serious influence on the performance of electronic reconnaissance, while the signal sorting also made high demands, one of the most complex real-time radar signal sorting radar is online signal sorting problem. Aiming at the problems of radar signal sorting, this paper focuses on the complex electromagnetic environment of radar signal online sorting algorithm based on grid density clustering is studied, and the algorithm is simulated and analyzed. The main research contents include the following aspects: firstly, the radar reconnaissance system the analysis of the composition are discussed in detail, which faces to the separation of the environment and the characteristics of signal analyses That can be used as a parameter for signal sorting is discussed. Secondly, from the perspective of cluster theory, respectively on the two typical clustering methods are introduced. Emphatically introduces the grid density clustering is the key technology of grid density clustering algorithm in detail. The algorithm is applied to radar signal sorting. The simulation software system, and the simulation results were analyzed, and lay a good foundation for the next step of radar signal sorting online. Finally, on the basis of the above analysis in-depth study of online sorting algorithm of radar signal, the sliding window mechanism involved are discussed, detailed analysis of the various online sorting process, finally the software system is simulated in MATLAB, and conducted a detailed analysis of the simulation results. The simulation results show that the radar signal sorting algorithm online without advance given radar radiation source The number of grid density clustering based on the idea of using sliding window mechanism, can dynamically select online radar signal pulse stream dense overlapping, and high separation efficiency.

【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】：TN957.51

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