本文關(guān)鍵詞：多用戶MIMO系統(tǒng)的盲均衡算法研究　出處：《安徽理工大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 盲均衡 正交小波變換 單輸入多輸出系統(tǒng) 奇異值分解 單用戶多輸入多輸出系統(tǒng) 多用戶多輸入多輸出系統(tǒng)

【摘要】：近幾年,隨著無線通信數(shù)據(jù)業(yè)務(wù)需求量的增加,加速了寬帶無線通信技術(shù)的發(fā)展和應(yīng)用,多用戶多輸入多輸出(Multiple-Input Multiple-Output, MIMO)無線系統(tǒng)中的信號處理技術(shù)也越來越引起人們的重視。為消除碼間干擾通常采用盲均衡技術(shù)進(jìn)行處理,本文首先研究了單輸入多輸出系統(tǒng)(Single-Input Multiple-Output, SIMO)中的盲均衡算法,接著研究了單用戶MIMO系統(tǒng)盲均衡算法,利用小波變換理論降低信號的自相關(guān)性,提高算法的性能,最后研究了正交小波盲均衡技術(shù)在多用戶MIMO系統(tǒng)中的應(yīng)用。研究內(nèi)容包括： 1基于單輸入多輸出系統(tǒng)的正交小波盲均衡算法 為了提高單輸入多輸出SIMO系統(tǒng)的抗衰落性能及常數(shù)模盲均衡算法(CMA)的均衡效果,提出一種基于SIMO系統(tǒng)的正交小波變換盲均衡算法(WT-CMA),用小波變換域?qū)斎胄盘栠M(jìn)行均衡,利用正交小波變換降低輸入信號的自相關(guān)性。理論分析及計算機(jī)仿真結(jié)果表明,該算法在SIMO系統(tǒng)中便于實現(xiàn),與CMA相比具有更優(yōu)越的性能。 2基于奇異值分解的單用戶MIMO系統(tǒng)小波常模盲均衡算法 在單用戶多輸入多輸出系統(tǒng)中,如果直接將輸出信號送入均衡器,無法實現(xiàn)信道的均衡。本文以矩陣的奇異值理論為數(shù)學(xué)基礎(chǔ),將單用戶MIMO系統(tǒng)與奇異值分解理論及常模算法結(jié)合,先將接收信號分解到正交的子空間,經(jīng)過小波變換后,再對子空間的子信號進(jìn)行盲均衡處理。在單輸入多輸出SIMO系統(tǒng)的常數(shù)模盲均衡算法的基礎(chǔ)上,提出了基于奇異值分解的單用戶多輸入多輸出(MIMO)系統(tǒng)的小波常模盲均衡算法。 3基于多用戶MIMO系統(tǒng)的小波盲均衡算法 由于多用戶多輸入多輸出無線通信系統(tǒng)信道的復(fù)雜性,關(guān)于這方面的理論研究稀缺。多用戶多輸入多輸出(MIMO)通信系統(tǒng)的不僅受多徑效應(yīng)及頻率選擇性衰落信道引起的碼間干擾,不同用戶之間的信號也會相互干擾嚴(yán)重影響通信效果。為了提高該系統(tǒng)的性能,利用奇異值分解理論,將多用戶MIMO系統(tǒng)的信道分解為多個并行的獨(dú)立信道,再對每個獨(dú)立的信道分別進(jìn)行均衡,通過對代價函數(shù)的改進(jìn),消除信號之間的相互干擾,成功的將小波盲均衡算法應(yīng)用到了多用戶MIMO系統(tǒng)中。理論分析與計算機(jī)仿真結(jié)果顯示,該算法能夠獲得較快的收斂速度及較低的穩(wěn)態(tài)誤差,且收斂后眼圖較為清晰,證明該方法的可行性及有效性。
[Abstract]:In recent years, with the increasing demand for wireless communication data services, the development and application of broadband wireless communication technology has been accelerated. Multiple-Input Multiple-Output. The signal processing technology in MIMO-based wireless systems has attracted more and more attention. Blind equalization technology is usually used to eliminate inter-symbol interference (ISI). In this paper, we first study the blind equalization algorithm for single-input multiple-output (SIMO) systems. Then the blind equalization algorithm of single user MIMO system is studied. Wavelet transform theory is used to reduce the autocorrelation of signal and improve the performance of the algorithm. Finally, the application of orthogonal wavelet blind equalization in multi-user MIMO systems is studied. 1. Orthogonal wavelet blind equalization algorithm based on single input multi-output system In order to improve the anti-fading performance of single-input multiple-output (SIMO) system and the equalization effect of constant modulus blind equalization algorithm (CMA). A blind equalization algorithm of orthogonal wavelet transform based on SIMO system is proposed. The input signal is equalized in wavelet transform domain. Orthogonal wavelet transform is used to reduce the autocorrelation of input signal. Theoretical analysis and computer simulation results show that the algorithm is easy to implement in SIMO system and has better performance than CMA. A Wavelet constant Modulus Blind Equalization algorithm for Single-user MIMO Systems based on singular value decomposition In a single-user multi-input multi-output system, if the output signal is sent directly to the equalizer, the channel equalization can not be realized. In this paper, the singular value theory of the matrix is taken as the mathematical basis. The single-user MIMO system is combined with singular value decomposition theory and constant modulus algorithm. The received signal is decomposed into orthogonal subspace after wavelet transform. Then the subsignals in the subspace are processed by blind equalization, which is based on the constant modulus blind equalization algorithm of single-input multi-output SIMO systems. A wavelet constant modulus blind equalization algorithm based on singular value decomposition (SVD) for single-user multi-input-multiple-output (Mimo) systems is proposed. Wavelet Blind Equalization algorithm based on Multi-user MIMO system Because of the complexity of multi-user multi-input and multi-output wireless communication system channel. Theoretical research on this aspect is scarce. Multi-user multi-input and multi-output MIMO-communication systems are not only caused by the multi-path effect and frequency selective fading channel inter-symbol interference. In order to improve the performance of the system, singular value decomposition (SVD) theory is used to improve the performance of the system. The channel of multi-user MIMO system is decomposed into several parallel independent channels, and then each independent channel is equalized separately, and the mutual interference between signals is eliminated by improving the cost function. The wavelet blind equalization algorithm is successfully applied to the multi-user MIMO system. The theoretical analysis and computer simulation results show that the algorithm can achieve faster convergence speed and lower steady-state error. The convergent eye diagram is clear, which proves the feasibility and effectiveness of the method.
【學(xué)位授予單位】：安徽理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN911.5

【參考文獻(xiàn)】

相關(guān)期刊論文 前7條

1 高鷹,謝勝利;一種變步長LMS自適應(yīng)濾波算法及分析[J];電子學(xué)報;2001年08期

2 胡艷軍,朱懷松,朱近康;DS/CDMA多用戶檢測盲自適應(yīng)梯度算法的改進(jìn)[J];電子學(xué)報;2002年05期

3 車小林;何晨;蔣鈴鴿;;基于噪聲預(yù)測的單載波MIMO系統(tǒng)的頻域均衡[J];電子學(xué)報;2009年01期

4 郭業(yè)才;何龍慶;韓迎鴿;趙俊渭;;盲均衡技術(shù)在水聲信道均衡中的應(yīng)用進(jìn)展[J];艦船科學(xué)技術(shù);2007年02期

5 郭業(yè)才;楊超;;基于正交小波變換的分?jǐn)?shù)間隔盲均衡算法[J];數(shù)據(jù)采集與處理;2011年03期

6 張艷萍;郭業(yè)才;劉金鑄;;適用于16QAM信號的水聲信道載波恢復(fù)盲均衡算法[J];系統(tǒng)仿真學(xué)報;2008年01期

7 李曉陸;李榮華;何昭水;謝勝利;;SIMO信道的卷積盲分離新算法[J];系統(tǒng)工程與電子技術(shù);2007年09期

，

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