【摘要】：隨著雷達(dá)技術(shù)的飛速發(fā)展和新體制雷達(dá)的廣泛應(yīng)用，雷達(dá)所處的信號(hào)環(huán)境呈現(xiàn)出密集、復(fù)雜和多變的特征，雷達(dá)信號(hào)分選的難度也逐漸增高。目前傳統(tǒng)的信號(hào)分選方法已無法滿足實(shí)時(shí)性分選的要求。為了能夠有效分選復(fù)雜信號(hào)環(huán)境下的雷達(dá)信號(hào)，本文深入研究信號(hào)分選的關(guān)鍵算法，并針對(duì)單一分選算法存在分選結(jié)果模糊性甚至無法正確分選的缺陷，研究算法聯(lián)合分選。 首先，，分析了雷達(dá)信號(hào)分選所面臨的復(fù)雜信號(hào)環(huán)境，簡要介紹了動(dòng)態(tài)關(guān)聯(lián)法、直方圖法、平面變換法等常見的傳統(tǒng)信號(hào)分選方法，并針對(duì)傳統(tǒng)分選算法中存在的子諧波問題，研究PRI變換法及其改進(jìn)算法。仿真結(jié)果表明，改進(jìn)的PRI變換法對(duì)復(fù)雜信號(hào)環(huán)境中的抖動(dòng)信號(hào)、脈沖丟失信號(hào)具有較好的分選效果。 其次，將獨(dú)立分量分析應(yīng)用到雷達(dá)信號(hào)分選中，重點(diǎn)研究了基于FastICA算法的雷達(dá)信號(hào)分選。該算法對(duì)復(fù)雜信號(hào)環(huán)境下不同調(diào)制類型的雷達(dá)信號(hào)有著良好的分選效果，尤其是對(duì)同時(shí)到達(dá)信號(hào)。針對(duì)噪聲干擾下ICA算法分選效果較差的情況，研究基于FastICA算法和小波變換的綜合分選算法，該算法對(duì)低信噪比下的雷達(dá)信號(hào)有良好的分選效果。 最后，針對(duì)復(fù)雜調(diào)制雷達(dá)信號(hào)的脈內(nèi)特征進(jìn)行了研究，重點(diǎn)研究了基于小波脊線提取脈內(nèi)特征的雷達(dá)信號(hào)分選方法。由于小波脊線法無法正確分選相同調(diào)制類型不同調(diào)制參數(shù)的雷達(dá)信號(hào)，本文結(jié)合改進(jìn)的PRI變換法，研究了基于小波脊線和PRI變換法的綜合分選算法，并通過仿真驗(yàn)證該方法對(duì)復(fù)雜信號(hào)環(huán)境下大量未知雷達(dá)信號(hào)有很好的分選效果。
[Abstract]:With the rapid development of radar technology and the wide application of new radar system, the signal environment of radar presents the characteristics of dense, complex and changeable, and the difficulty of radar signal sorting is gradually increasing. At present, the traditional signal sorting method can not meet the requirement of real-time sorting. In order to effectively separate radar signal in complex signal environment, the key algorithm of signal sorting is studied in this paper. Aiming at the shortcoming of single sorting algorithm that the result of separation is fuzzy or even can not be sorted correctly, the algorithm of joint sorting is studied. Firstly, the complex signal environment of radar signal sorting is analyzed, and the traditional signal sorting methods, such as dynamic correlation method, histogram method and plane transform method, are briefly introduced, and the sub-harmonic problems in the traditional sorting algorithm are also discussed. The PRI transform method and its improved algorithm are studied. The simulation results show that the improved PRI transform method has a good sorting effect on the jitter signal and the pulse loss signal in the complex signal environment. Secondly, the independent component analysis (ICA) is applied to radar signal sorting, and the radar signal sorting based on FastICA algorithm is studied. The algorithm has a good sorting effect for radar signals with different modulation types in complex signal environments, especially for simultaneous arrival signals. In view of the poor sorting effect of ICA algorithm under noise interference, a comprehensive sorting algorithm based on FastICA algorithm and wavelet transform is studied. The algorithm has a good sorting effect for radar signals with low SNR. Finally, the intra pulse feature of complex modulated radar signal is studied, and the method of radar signal sorting based on wavelet ridge extraction is studied. Because the wavelet ridge method can not correctly select the radar signals with the same modulation type and different modulation parameters, this paper studies a comprehensive sorting algorithm based on wavelet ridge and PRI transform combined with the improved PRI transform method. The simulation results show that the method has a good sorting effect on a large number of unknown radar signals in complex signal environment.
【學(xué)位授予單位】：江蘇科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN957.51

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 畢大平,董暉,姜秋喜;基于瞬時(shí)頻率的脈內(nèi)調(diào)制識(shí)別技術(shù)[J];電子對(duì)抗技術(shù);2005年02期

2 王宇;;基于PRI變換的未知雷達(dá)信號(hào)分選算法研究[J];電子科技;2010年11期

3 劉琚,何振亞;盲源分離和盲反卷積[J];電子學(xué)報(bào);2002年04期

4 韓俊;何明浩;程柏林;;一種未知雷達(dá)輻射源信號(hào)分選的新方法[J];航天電子對(duì)抗;2009年01期

5 巫勝洪;雷達(dá)脈內(nèi)特征提取方法的研究[J];艦船電子對(duì)抗;2002年01期

6 李永紅;邱杰;孫文軍;;一種改進(jìn)的雷達(dá)脈沖信號(hào)分選算法[J];中國電子科學(xué)研究院學(xué)報(bào);2011年05期

7 喬宏樂;王超;王鵬;;基于PRI變換法的脈沖信號(hào)分選算法[J];火控雷達(dá)技術(shù);2012年02期

8 黃知濤,周一宇,姜文利;基于相對(duì)無模糊相位重構(gòu)的自動(dòng)脈內(nèi)調(diào)制特性分析[J];通信學(xué)報(bào);2003年04期

9 李承志;吳華;程嗣怡;張官榮;;獨(dú)立分量分析在雷達(dá)盲信號(hào)處理上的應(yīng)用[J];現(xiàn)代防御技術(shù);2012年01期

10 趙永勝;;一種改進(jìn)型PRI變換雷達(dá)信號(hào)分選技術(shù)[J];現(xiàn)代雷達(dá);2007年08期

相關(guān)博士學(xué)位論文 前2條

1 蔡智富;脈壓雷達(dá)信號(hào)的識(shí)別與參數(shù)估計(jì)算法研究[D];哈爾濱工程大學(xué);2010年

2 柴娟芳;復(fù)雜環(huán)境下雷達(dá)信號(hào)的分選識(shí)別技術(shù)研究[D];哈爾濱工程大學(xué);2009年

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