發(fā)布時(shí)間：2018-06-25 09:29

  本文選題：獨(dú)立分量分析 + OFDMA　； 參考：《杭州電子科技大學(xué)》2017年碩士論文

【摘要】：目前廣泛應(yīng)用的OFDMA技術(shù)以及作未來5G移動(dòng)通信系統(tǒng)的多小區(qū)多用戶大規(guī)模MIMO技術(shù),以其高速傳輸數(shù)據(jù)的優(yōu)點(diǎn)成為現(xiàn)代高速通信系統(tǒng)領(lǐng)域的研究熱點(diǎn)。對(duì)于采用OFDMA技術(shù)的系統(tǒng),相對(duì)于傳統(tǒng)的調(diào)制技術(shù)能夠極大的提高信息傳輸速率和頻帶利用率。但是在復(fù)雜的電磁環(huán)境中,往往存在各種人為的惡意干擾或者是同頻干擾,那么有效的消除干擾對(duì)OFDMA系統(tǒng)的影響具有重要的研究意義。對(duì)于大規(guī)模MIMO技術(shù),在有限的頻譜資源下,采用空間復(fù)用技術(shù)來提高信息傳輸速率,從而提高系統(tǒng)容量。但是傳統(tǒng)的MIMO系統(tǒng)采用導(dǎo)頻復(fù)用進(jìn)行信道估計(jì)和解碼,會(huì)引入導(dǎo)頻污染,從而使系統(tǒng)性能惡化。因此對(duì)于多小區(qū)多用戶大規(guī)模MIMO系統(tǒng),如何在系統(tǒng)正確解碼的同時(shí)有效的避免導(dǎo)頻污染問題,已經(jīng)引起了廣泛的關(guān)注。為了克服上述問題,本文基于獨(dú)立分量分析法提出了OFDMA以及大規(guī)模MIMO等現(xiàn)代高速通信系統(tǒng)的抗干擾研究算法。首先,針對(duì)OFDMA系統(tǒng)中普遍存在的干擾使通信系統(tǒng)性能變差的問題,本文提出了基于獨(dú)立分量分析算法的OFDMA抗干擾研究算法。該算法在單通道下將接收信號(hào)建模成基于子載波矩陣盲源分離的模型,將單音干擾建模成OFDMA信號(hào)的虛擬用戶,利用獨(dú)立分量分析法完成子載波矩陣解調(diào),并對(duì)單音干擾和OFDMA用戶信息進(jìn)行分離,從而完成抗干擾。所提出的盲源分離抗干擾算法在分離過程中已完成了用戶信息的解調(diào),這種盲解調(diào)過程并不需要去除循環(huán)前綴(Cyclic Prefix,CP)部分。理論分析和仿真結(jié)果表明基于ICA的OFDMA系統(tǒng)盲解碼抗干擾算法相比于傳統(tǒng)的去除CP的FFT解碼方法,具有更高的信道增益因而抗干擾性能更好。其次,針對(duì)傳統(tǒng)的MIMO系統(tǒng)中采用導(dǎo)頻復(fù)用進(jìn)行信道估計(jì)和解碼,而引入導(dǎo)頻污染的問題,本文提出了基于獨(dú)立分量分析算法的多小區(qū)多用戶大規(guī)模天線MIMO抗導(dǎo)頻污染研究算法。該算法首先采用了盲源分離的思想將期望信號(hào)和干擾信號(hào)分離,然后充分利用信道能量的區(qū)分度,從所有小區(qū)用戶中識(shí)別出期望小區(qū)用戶,然后采用少量的參考序列從期望小區(qū)的所有用戶中識(shí)別出某一個(gè)期望用戶。該算法不需要發(fā)送導(dǎo)頻進(jìn)行信道估計(jì),因而不存在導(dǎo)頻污染,相較于傳統(tǒng)的基于導(dǎo)頻進(jìn)行信道估計(jì)與解碼的抗干擾算法,具有較好的性能。理論分析和仿真結(jié)果表明了多小區(qū)多用戶大規(guī)模MIMO系統(tǒng)下本文提出的基于獨(dú)立分量分析的抗導(dǎo)頻污染的盲解碼算法性能明顯優(yōu)于在信道未知的條件下的基于導(dǎo)頻輔助的ZF、MMSE的信道估計(jì)與解碼算法以及基于SVD的信道估計(jì)與解碼算法具有更好的性能。
[Abstract]:The OFDMA technology and the multi-cell multi-user large-scale MIMO technology which is widely used in the future 5G mobile communication system has become the research hotspot in the field of modern high-speed communication system because of its advantages of high-speed data transmission. For the system using OFDMA technology, compared with the traditional modulation technology, the information transmission rate and frequency band efficiency can be greatly improved. However, in the complex electromagnetic environment, there are many kinds of malicious interference or co-frequency interference, so the effective elimination of interference on the OFDMA system has an important research significance. For large-scale MIMO technology, spatial multiplexing technology is used to improve the transmission rate of information under the limited spectrum resources, thus increasing the capacity of the system. However, the traditional MIMO system uses pilot multiplexing to estimate and decode the channel, which will lead to pilot pollution, which makes the system performance deteriorate. Therefore, for multi-cell multi-user large-scale MIMO systems, how to decode the system correctly and effectively avoid pilot pollution has attracted much attention. In order to overcome the above problems, an anti-jamming algorithm for modern high-speed communication systems such as OFDMA and large-scale MIMO is proposed based on independent component analysis (ICA). Firstly, in order to solve the problem that the interference in OFDMA system makes the communication system performance worse, this paper proposes an OFDMA anti-jamming algorithm based on independent component analysis (ICA) algorithm. In this algorithm, the received signal is modeled as a blind source separation model based on the subcarrier matrix in a single channel, and the single tone interference is modeled as a virtual user of the OFDMA signal, and the subcarrier matrix demodulation is completed by independent component analysis (ICA). And the single tone interference and OFDMA user information are separated to achieve anti-interference. The proposed anti-jamming algorithm for blind source separation has completed the demodulation of user information in the process of separation. This blind demodulation process does not need to remove the cyclic prefix (CP) part. Theoretical analysis and simulation results show that the blind decoding anti-jamming algorithm of OFDMA system based on ICA has higher channel gain and better anti-jamming performance than the traditional FFT decoding method without CP. Secondly, aiming at the problem of channel estimation and decoding using pilot multiplexing in traditional MIMO systems, and introducing pilot pollution, this paper proposes a multi-cell multi-user MIMO anti-pilot pollution research algorithm based on independent component analysis (ICA) algorithm. The algorithm firstly uses the idea of blind source separation to separate the desired signal from the interference signal, and then makes full use of the discriminating degree of channel energy to identify the desired cell user from all the cell users. Then a small number of reference sequences are used to identify a desired user from all users of the desired cell. This algorithm does not need to transmit pilot for channel estimation, so there is no pilot pollution. Compared with the traditional anti-jamming algorithm based on pilot estimation and decoding, this algorithm has better performance. Theoretical analysis and simulation results show that the proposed blind decoding algorithm based on independent component analysis (ICA) is superior to that based on pilot when the channel is unknown. The auxiliary channel estimation and decoding algorithm of ZFN MMSE and the channel estimation and decoding algorithm based on SVD have better performance.
【學(xué)位授予單位】：杭州電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TN929.53

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 沈雷;胡桃桃;王彥波;;單通道下基于盲源分離OFDMA抗干擾算法[J];杭州電子科技大學(xué)學(xué)報(bào)(自然科學(xué)版);2016年05期

2 嚴(yán)斌彬;沈雷;姜顯揚(yáng);韓煜;;多小區(qū)大規(guī)模陣列天線系統(tǒng)盲解碼算法[J];電信科學(xué);2016年08期

3 沈雷;卜燕燕;趙知?jiǎng)?文紅;;異步多址正交頻分復(fù)用信號(hào)解碼算法研究[J];電波科學(xué)學(xué)報(bào);2016年03期

4 劉留;陶成;盧艷萍;艾渤;;大規(guī)模多天線無線信道及容量特性研究[J];北京交通大學(xué)學(xué)報(bào);2015年02期

5 顧浙騏;張忠培;;大規(guī)模MIMO時(shí)分雙工系統(tǒng)的基站天線互易校準(zhǔn)算法[J];電子與信息學(xué)報(bào);2015年02期

6 沈雷;盛迪;孫閩紅;王海泉;于淼;;單通道下基于盲源分離擴(kuò)頻通信抗干擾算法研究[J];電波科學(xué)學(xué)報(bào);2014年05期

7 尤肖虎;潘志文;高西奇;曹淑敏;鄔賀銓;;5G移動(dòng)通信發(fā)展趨勢與若干關(guān)鍵技術(shù)[J];中國科學(xué):信息科學(xué);2014年05期

8 郝黎宏;劉偉;;一種改進(jìn)的單音干擾下OFDM系統(tǒng)盲信道估計(jì)算法[J];電訊技術(shù);2013年04期

9 王海榮;王玉輝;黃永明;楊綠溪;;大規(guī)模MIMO多小區(qū)TDD系統(tǒng)中的導(dǎo)頻污染減輕方法[J];信號(hào)處理;2013年02期

10 劉高星;胡瑞;張欣;張子杰;;OFDMA上行鏈路系統(tǒng)的頻偏估計(jì)算法[J];現(xiàn)代電子技術(shù);2012年17期

相關(guān)博士學(xué)位論文 前1條

1 楊家軒;獨(dú)立分量分析算法及其在多用戶檢測中的應(yīng)用[D];大連海事大學(xué);2008年

相關(guān)碩士學(xué)位論文 前2條

1 尹海帆;大規(guī)模MIMO中的協(xié)作式信道估計(jì)策略[D];華中科技大學(xué);2012年

2 韓良冬;OFDM無線傳輸中的相位噪聲補(bǔ)償技術(shù)[D];西安電子科技大學(xué);2006年

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