本文選題：4G + 波束成形�。� 參考：《南京郵電大學(xué)》2015年碩士論文

【摘要】：在無線通信技術(shù)領(lǐng)域中,智能天線技術(shù)帶來的優(yōu)勢目前來講幾乎是不可替代的。因此智能天線技術(shù)是無線通信領(lǐng)域中的研究熱點,是一個最活躍的領(lǐng)域。近年來取得了極大的發(fā)展。而波束成形技術(shù)則是智能天線技術(shù)中非常重要的一環(huán),其核心是將發(fā)送信號的主要能量對準(zhǔn)期望用戶,達(dá)到提高信噪比的目的。波束成形技術(shù)應(yīng)運而生。而算法是波束成形技術(shù)的核心,本文就是4G LTE為背景,以波束成形算法為核心進(jìn)行了研究與探討。針對波束成形系統(tǒng)中陣列信號進(jìn)行了模型建立,區(qū)分了理想狀況下和存在誤差狀況下的不同,同時討論了陣列信號的統(tǒng)計模型建立方法。然后圍繞LTE系統(tǒng)展開研究,重點分析了下行鏈路的工作原理,解釋了LTE系統(tǒng)的幀以及時隙是如何構(gòu)成的;同時學(xué)習(xí)并研究了LTE下行物理信道中一般信號的處理過程,并且重點研究了波束成形算法中關(guān)于加權(quán)矢量的幾種計算方法,對基于QR分解和基于SVD分解的算法進(jìn)行了詳細(xì)的分析與推導(dǎo),在對其研究的基礎(chǔ)上,綜合了對角加載的原理,對對角加載的QR分解算法和SVD分解算法進(jìn)行了驗證。最后引入了多流波束成形算法的概念,根據(jù)單流和雙流波束成形的原理進(jìn)行了一系列計算與分析,進(jìn)一步研究之后提出了一種基于最大化信道容量的自適應(yīng)流數(shù)選擇波束成形方案,并進(jìn)行了仿真分析,得出了如下結(jié)論:信噪比不同的情況下,多流波束成形的性能也會隨之變化,通過自適應(yīng)算法可以實現(xiàn)自動切換流數(shù)以達(dá)到該信噪比條件下的最大信道容量。
[Abstract]:In the field of wireless communication, the advantages of smart antenna technology are almost irreplaceable.Therefore, smart antenna technology is one of the most active research fields in wireless communication field.Great progress has been made in recent years.Beamforming technology is a very important part of smart antenna technology. The core of beamforming technology is to target the main energy of the transmitted signal at the desired user to improve the signal-to-noise ratio (SNR).Beamforming technology emerged as the times require.The algorithm is the core of beamforming technology. In this paper, 4G LTE is the background, and the core of beamforming algorithm is studied and discussed.The model of array signal in beamforming system is established, and the difference between ideal condition and error condition is distinguished. At the same time, the statistical modeling method of array signal is discussed.Then the research is carried out around the LTE system, the working principle of downlink is analyzed, the frame and time slot of LTE system are explained, and the general signal processing process in the downlink physical channel of LTE is studied and studied.Several calculation methods about weighted vector in beamforming algorithm are studied, and the algorithms based on QR decomposition and SVD decomposition are analyzed and deduced in detail. On the basis of the research, the principle of diagonal loading is synthesized.The diagonally loaded QR decomposition algorithm and the SVD decomposition algorithm are verified.Finally, the concept of multi-flow beamforming algorithm is introduced, and a series of calculation and analysis are carried out according to the principle of single-flow beamforming and dual-flow beamforming.After further research, an adaptive stream number selective beamforming scheme based on maximizing channel capacity is proposed, and simulation analysis is carried out. The conclusions are as follows: under different SNR,The performance of multi-stream beamforming also changes with it. The adaptive algorithm can automatically switch the number of streams to reach the maximum channel capacity under the SNR condition.
【學(xué)位授予單位】：南京郵電大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TN929.53

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