多源混合信号分选数学方法研究

With the rapid development of the communication technology，the communication system becomes more and more diversified and complicated. Furthermore, various systems are used comprehensively. In fact, electronic warfare is facing more and more complicated electromagnetic environment. Therefore, how to make a correct signal sorting and recognition in such a complex signal environment is an important task for radar scouts. And it plays a very important role in modern war. Actually, it is an urgent and arduous task in the field of electronic reconnaissance to improve the signal sorting capability of passive radar seeks (PRS) in the dense, complicated and variational environments. It is also a major problem of multidisciplinary which the military is very concerned about. The project will propose some new comprehensive sorting algorithms. By take into account the complex signal space overlapping features, popular new feature selection algorithms based on mathematics are developed and the sorting methods of information layer based on many mathematical models are also well developed. The methods which will be studied by this project can solve the problem of signal sorting to a great extent, as we know, which is the core problem of the electronic warfare.

随着通信技术的迅猛发展，通信体制的多样化、复杂化以及各种体制的综合利用使得电子对抗面临着越来越复杂的电磁环境。在复杂的信号环境下进行信号分选是侦察的一项重要任务，在现代战争中起着非常重要的作用。提高被动雷达导引头在密集、复杂、多变的信号环境中正确分选跟踪目标信号的能力是电子侦察领域中的紧迫而艰巨的任务，也是军方非常关注的多学科交叉重大问题。本项目拟在引入新的综合性分选算法的同时，针对其复杂信号空间交叠的特点，从数据空间本身出发，发展以数学为基础的新特征流行分选算法以及基于信息层的数学模型分选方法。本项目所提方法拟在很大程度上解决信号分选这一电子对抗的核心问题。

随着通信技术的迅猛发展，通信体制的多样化、复杂化以及各种体制的综合利用使得电子对抗面临着越来越复杂的电磁环境。在复杂的信号环境下进行信号分选是侦察的一项重要任务，在现代战争中起着非常重要的作用。本项目在此信息化战争的背景下，针对军方迫切需要解决的电子信息对抗中的核心问题: 多源混合信号分选问题，进行研究。 基于当前正向雷达的研究成果，通过对多源混合信号全脉冲数据参数的数学模型刻画，提出了基于精细化数学模型的多种综合信号分选算法，尤其其中的脉冲重复间隔快速匹配和识别拓展算法、信号参数动态分桶算法，在很大程度上解决了许多传统分选算法存在的由于工作参数调制类型复杂、参数间互相关联而导致的增批现象。此外，在实测数据包含测向信息和脉内信息的基础上，本项目通过三维直角坐标和地坐标条件下的辐射源定位算法研究，以及雷达信号脉内调制类型和调制参数的中频特征分析，实现了多源混合信号的辅助分选。项目共发表论文11篇，其中SCI、EI检索8篇，另外出版专著一部；培养硕士研究生10人；参加会议12次；出访3次。