本文選題：調(diào)制識(shí)別 + 循環(huán)平穩(wěn)理論��； 參考：《蘭州理工大學(xué)》2014年碩士論文

【摘要】：復(fù)雜電磁環(huán)境下的數(shù)字調(diào)制信號自動(dòng)識(shí)別是根據(jù)少有的先驗(yàn)知識(shí)將一個(gè)未知調(diào)制方式的通信信號歸入相應(yīng)的調(diào)制種類,為后續(xù)的進(jìn)一步信號分析與處理提供可靠依據(jù)。在頻譜監(jiān)測、緊急救援與電子對抗等場合中,調(diào)制識(shí)別過程有著重要的作用。近幾十年,學(xué)者們在此方向做了很多相關(guān)的研究工作,并且提出了一些可靠的通信信號調(diào)制識(shí)別算法。但是研究發(fā)現(xiàn),很多方法在復(fù)雜通信電磁環(huán)境下工作的效率不是很好。因此,本文基于調(diào)制識(shí)別方面的國內(nèi)外最新研究成果,在復(fù)雜電磁環(huán)境下,結(jié)合循環(huán)平穩(wěn)理論、數(shù)字信號處理理論,研究如何利用能夠有效表征信號差異的特征完成對數(shù)字調(diào)制信號的識(shí)別。 在此研究背景下,本文主要工作包括以下幾點(diǎn)： (1)對經(jīng)典的基于統(tǒng)計(jì)特征的調(diào)制識(shí)別算法進(jìn)行了研究與分析,根據(jù)特征所提取信息的變換特性,將其分為兩大類：基于瞬變信息與緩變信息的統(tǒng)計(jì)特征,并對他們進(jìn)行了綜述。 (2)通過對調(diào)制信號經(jīng)過非線性系統(tǒng)后功率譜的研究,發(fā)現(xiàn)不同的數(shù)字通信調(diào)制信號具有不同的離散譜線,本文利用AR模型提取信號的譜線特征,實(shí)現(xiàn)對常見數(shù)字調(diào)制信號的識(shí)別,并在MATLAB環(huán)境下仿真驗(yàn)證。 (3)根據(jù)通信信號循環(huán)平穩(wěn)特性與LPTV模型的對應(yīng)關(guān)系,將數(shù)字調(diào)制信號構(gòu)建為相應(yīng)的LPTV模型,估計(jì)模型的結(jié)構(gòu)參數(shù),在此基礎(chǔ)上提取相應(yīng)的循環(huán)譜特征,完成對數(shù)字調(diào)制信號的識(shí)別。
[Abstract]:Automatic recognition of digital modulation signals in complex electromagnetic environment is to classify a communication signal of unknown modulation mode into corresponding modulation types according to rare prior knowledge, which provides a reliable basis for further signal analysis and processing. Modulation recognition plays an important role in spectrum monitoring, emergency rescue and electronic countermeasures. In recent decades, scholars have done a lot of research in this direction, and proposed some reliable communication signal modulation recognition algorithm. However, it is found that many methods are not efficient in complex communication electromagnetic environment. Therefore, based on the latest research results of modulation recognition at home and abroad, in the complex electromagnetic environment, combined with the cyclic stationary theory, digital signal processing theory, This paper studies how to use the features which can effectively represent the difference of signal to realize the recognition of digital modulation signal. In this context, the main work of this paper includes the following: 1) the classical modulation recognition algorithms based on statistical features are studied and analyzed. According to the transformation characteristics of the information extracted from the features, they are divided into two categories: the statistical features based on transient information and slow change information, and they are summarized. 2) by studying the power spectrum of modulation signal after passing through nonlinear system, it is found that different digital communication modulation signal has different discrete spectral lines. In this paper, AR model is used to extract the spectral line characteristics of the signal. The recognition of common digital modulation signals is realized and simulated in MATLAB environment. 3) according to the corresponding relationship between the cyclic stationary characteristic of the communication signal and the LPTV model, the digital modulation signal is constructed into the corresponding LPTV model, the structural parameters of the model are estimated, and the corresponding cyclic spectrum features are extracted. The recognition of digital modulation signal is completed.
【學(xué)位授予單位】：蘭州理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN911.3

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 呂鐵軍,魏平,肖先賜;基于分形和測度理論的信號調(diào)制識(shí)別[J];電波科學(xué)學(xué)報(bào);2001年01期

2 曲強(qiáng);金明錄;;諧波級數(shù)表示與周期時(shí)變參數(shù)模型間關(guān)系[J];大連理工大學(xué)學(xué)報(bào);2010年05期

3 姜園;張朝陽;羅智勇;;小波變換與模式識(shí)別用于自動(dòng)識(shí)別調(diào)制模式[J];電路與系統(tǒng)學(xué)報(bào);2006年04期

4 于寧宇;石榮;石磊;;單通道時(shí)頻重疊多信號處理技術(shù)進(jìn)展與展望[J];電子信息對抗技術(shù);2010年05期

5 黃奇珊;彭啟琮;路友榮;韓猛;;OFDM信號循環(huán)譜結(jié)構(gòu)分析[J];電子與信息學(xué)報(bào);2008年01期

6 陸明泉;肖先賜;;基于GAR的同信道多信號的調(diào)制識(shí)別[J];清華大學(xué)學(xué)報(bào)(自然科學(xué)版);2009年10期

7 李少凱;董斌;劉寧;;基于譜線特征的MPSK調(diào)制識(shí)別[J];通信技術(shù);2010年08期

8 趙春暉;楊偉超;馬爽;;基于廣義二階循環(huán)統(tǒng)計(jì)量的通信信號調(diào)制識(shí)別研究[J];通信學(xué)報(bào);2011年01期

9 鄧璋;徐以濤;王乃超;;基于信號譜線特征的調(diào)制方式識(shí)別[J];通信技術(shù);2013年01期

10 韓國棟,蔡斌,鄔江興;調(diào)制分析與識(shí)別的譜相關(guān)方法[J];系統(tǒng)工程與電子技術(shù);2001年03期

相關(guān)博士學(xué)位論文 前3條

1 陸鳳波;復(fù)雜電磁環(huán)境下的欠定盲源分離技術(shù)研究[D];國防科學(xué)技術(shù)大學(xué);2011年

2 賀濤;數(shù)字通信信號調(diào)制識(shí)別若干新問題研究[D];電子科技大學(xué);2008年

3 陸明泉;多信號的調(diào)制識(shí)別技術(shù)研究[D];電子科技大學(xué);2008年

，

本文編號：1986111