本文關(guān)鍵詞：雷達(dá)信號在線分選算法研究　出處：《西安電子科技大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 雷達(dá)信號分選 網(wǎng)格密度聚類 在線分選 滑動窗口

【摘要】：雷達(dá)信號分選技術(shù)一直是雷達(dá)偵察技術(shù)領(lǐng)域研究的重點,隨著相關(guān)雷達(dá)技術(shù)的飛速發(fā)展,其工作體制向著多樣化、復(fù)雜化發(fā)展,對電子偵察性能造成嚴(yán)重的影響,同時對信號分選也提出了很高的要求,雷達(dá)信號的實時在線分選就是雷達(dá)信號分選中最復(fù)雜的問題之一。針對雷達(dá)信號分選研究方面存在的亟待解決的問題,本文主要對復(fù)雜電磁環(huán)境下的基于網(wǎng)格密度聚類的雷達(dá)信號在線分選算法進行了深入研究,并進行了算法仿真分析。主要研究內(nèi)容包括以下幾個方面:首先,對雷達(dá)偵察系統(tǒng)進行了分析,對其組成進行詳細(xì)討論,對分選所面臨的環(huán)境以及信號的特征進行了深入地分析研究,對可以用來作為信號分選的參數(shù)進行了討論。其次,從聚類理論出發(fā),分別對兩種典型的聚類方法進行介紹。著重介紹網(wǎng)格密度聚類的思想,對網(wǎng)格密度聚類算法中的關(guān)鍵技術(shù)進行了詳細(xì)講解。將算法的思想應(yīng)用到雷達(dá)信號分選中,進行了相關(guān)的軟件系統(tǒng)仿真,并對仿真結(jié)果進行分析,為下一步雷達(dá)信號在線分選打好基礎(chǔ)。最后,在以上分析的基礎(chǔ)上深入研究雷達(dá)信號的在線分選算法,對算法涉及的滑動窗口機制進行討論,詳細(xì)分析了在線分選的各個過程,最后在MATLAB上進行軟件系統(tǒng)仿真,并對仿真結(jié)果進行詳細(xì)分析。仿真結(jié)果表明,該雷達(dá)信號在線分選算法無需提前給定雷達(dá)輻射源的數(shù)目,基于網(wǎng)格密度聚類的思想,采用滑動窗口機制,可以在線動態(tài)地分選出密集交疊的雷達(dá)信號脈沖流,而且分選效率高。
[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.

【學(xué)位授予單位】：西安電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN957.51

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本文編號：1396874