本文選題：脈內(nèi)特征分析 + 相位差分�。� 參考：《北京理工大學》2014年碩士論文

【摘要】：雷達輻射源信號識別是目標識別技術(shù)的重要組成部分，隨著現(xiàn)代電子對抗越發(fā)激烈，復(fù)雜體制的雷達輻射源迅速增加且逐漸占據(jù)主導(dǎo)地位，復(fù)雜多變的信號形式逐漸使傳統(tǒng)的識別方法失去有效性，因此給雷達信號的識別研究提出了更高的要求，準確快速地對復(fù)雜體制輻射源信號進行識別已是當前雷達信號識別處理中重點研究的技術(shù)難題之一。目前雷達輻射源識別已經(jīng)進入脈內(nèi)特征分析階段，本文對現(xiàn)有的提取脈內(nèi)調(diào)制特征的方法進行研究，對提取脈內(nèi)有意特征的瞬時自相關(guān)法和相位差分法進行仿真，并將其應(yīng)用到改進的雷達輻射源識別模型中，最后設(shè)計并實現(xiàn)基于DSP的實時雷達輻射源識別軟件。 首先，介紹了雷達輻射源識別的基礎(chǔ)。從雷達信號數(shù)學模型，雷達信號基本特征，雷達信號脈內(nèi)調(diào)制特征分析三方面介紹。 其次，研究了雷達輻射源脈內(nèi)調(diào)制特征的提取方法。雷達輻射源脈內(nèi)調(diào)制特征分為有意調(diào)制特征和個體特征。分別介紹了有意特征和個體特征提取方法，并對提取有意特征的瞬時自相關(guān)法和相位差分法進行了Matlab仿真實驗，，并將其應(yīng)用于雷達輻射源識別模型中。 第三，對現(xiàn)有的雷達輻射源識別模型進行了研究。對早期和現(xiàn)有改進的雷達輻射源識別模型進行分析，并在現(xiàn)有雷達輻射源識別模型的基礎(chǔ)上加以改進得到本文的雷達輻射源識別模型。 最后，設(shè)計并實現(xiàn)基于DSP的實時雷達輻射源識別軟件。
[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.
【學位授予單位】：北京理工大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN957.51

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