雷达辐射源识别方法研究与实现

发布时间：2018-07-02 14:36

本文选题：脉内特征分析 + 相位差分　；参考：《北京理工大学》2014年硕士论文

【摘要】：雷达辐射源信号识别是目标识别技术的重要组成部分，随着现代电子对抗越发激烈，复杂体制的雷达辐射源迅速增加且逐渐占据主导地位，复杂多变的信号形式逐渐使传统的识别方法失去有效性，因此给雷达信号的识别研究提出了更高的要求，准确快速地对复杂体制辐射源信号进行识别已是当前雷达信号识别处理中重点研究的技术难题之一。目前雷达辐射源识别已经进入脉内特征分析阶段，本文对现有的提取脉内调制特征的方法进行研究，对提取脉内有意特征的瞬时自相关法和相位差分法进行仿真，并将其应用到改进的雷达辐射源识别模型中，最后设计并实现基于DSP的实时雷达辐射源识别软件。首先，介绍了雷达辐射源识别的基础。从雷达信号数学模型，雷达信号基本特征，雷达信号脉内调制特征分析三方面介绍。其次，研究了雷达辐射源脉内调制特征的提取方法。雷达辐射源脉内调制特征分为有意调制特征和个体特征。分别介绍了有意特征和个体特征提取方法，并对提取有意特征的瞬时自相关法和相位差分法进行了Matlab仿真实验，，并将其应用于雷达辐射源识别模型中。第三，对现有的雷达辐射源识别模型进行了研究。对早期和现有改进的雷达辐射源识别模型进行分析，并在现有雷达辐射源识别模型的基础上加以改进得到本文的雷达辐射源识别模型。最后，设计并实现基于DSP的实时雷达辐射源识别软件。
[Abstract]:Radar emitter signal recognition is an important part of target recognition technology. With the increasingly fierce electronic countermeasures, the radar emitter of complex system increases rapidly and gradually occupies the leading position. The complex and changeable signal form gradually makes the traditional recognition method lose its validity, so the research on radar signal recognition has put forward higher requirements. Accurate and fast recognition of emitter signals with complex systems has become one of the most important technical problems in radar signal recognition and processing. At present, radar emitter recognition has entered the stage of in-pulse feature analysis. In this paper, the existing methods of extracting in-pulse modulation feature are studied, and the instantaneous autocorrelation method and phase difference method are simulated to extract the intentional feature in the pulse. It is applied to the improved radar emitter recognition model. Finally, the real-time radar emitter recognition software based on DSP is designed and implemented. Firstly, the basis of radar emitter recognition is introduced. This paper introduces the mathematical model of radar signal, the basic characteristics of radar signal and the characteristic analysis of radar signal in pulse modulation. Secondly, the extraction method of radar emitter pulse modulation feature is studied. The modulation characteristics of radar emitter source can be divided into intentional modulation feature and individual characteristic. The methods of extracting intentional feature and individual feature are introduced, and the instantaneous autocorrelation method and phase difference method are simulated by Matlab, and they are applied to radar emitter recognition model. Thirdly, the existing radar emitter recognition model is studied. The early and existing improved radar emitter recognition models are analyzed, and the radar emitter recognition model is obtained by improving the existing radar emitter recognition models. Finally, a real-time radar emitter recognition software based on DSP is designed and implemented.
【学位授予单位】：北京理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN957.51

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