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功率放大器數(shù)字預(yù)失真建模研究

發(fā)布時間:2018-08-20 12:55
【摘要】:步入移動互聯(lián)網(wǎng)時代,寬帶移動通信設(shè)備成為每個人生活中不可缺少的一部分。有了這些移動通信設(shè)備,移動通信用戶可以使用社交軟件和周圍的世界保持著聯(lián)系,利用新聞客戶端獲悉最新的新聞資訊,通過視頻、音頻應(yīng)用享受當下的美好時光。移動通信用戶的這些需求大大刺激了總信息傳輸量的增長,在頻譜資源有限的現(xiàn)實條件下,迫切需要開發(fā)和利用有更高頻譜利用率的調(diào)制技術(shù),如OFDM,以達到在有限的頻譜資源上傳輸更多的信息的目的。頻譜利用率高的調(diào)制技術(shù)調(diào)制出非恒定包絡(luò)的信號,這種信號在通過功率放大器(簡稱功放)這種通信設(shè)備中非常常見的電子器件時,由于功放的非線性特性,輸出的信號會發(fā)生非線性失真,造成碼間干擾和頻譜擴展,嚴重影響了信號的正常傳輸。上述問題的解決辦法是采用功率放大器的線性化技術(shù),消除功放非線性帶來的影響。預(yù)失真技術(shù)是功放線性化技術(shù)的一個重要分支,隨著數(shù)字信號處理技術(shù)的發(fā)展,它逐步得到業(yè)界的青睞和重視。這篇論文對數(shù)字預(yù)失真技術(shù)展開了研究,主要的工作如下:(1)分析了功放產(chǎn)生非線性失真的原因,主要從諧波失真和互調(diào)失真兩個方面進行了說明。(2)對常見的功放的行為模型進行了介紹,分別列出了無記憶和有記憶功放行為模型,分析了各種模型的適用場合。(3)針對無記憶和有記憶兩種功放,分別應(yīng)用了相應(yīng)的預(yù)失真技術(shù),分析了預(yù)失真參數(shù)的辨識方法。如無記憶預(yù)失真技術(shù)中,查找表技術(shù)里的極坐標預(yù)失真和增益預(yù)失真,給出了求解查找表項的迭代公式,同時詳細闡述了非迭代地初始化查找表項的方法。記憶預(yù)失真技術(shù)中,給出了記憶多項式進行參數(shù)辨識的最小二乘法的求解過程。(4)介紹了兩種自適應(yīng)的學(xué)習(xí)結(jié)構(gòu),闡述了兩種自適應(yīng)算法的原理,提出了一種預(yù)失真結(jié)構(gòu)框圖,然后對無記憶多項式和有記憶多項式兩種預(yù)失真技術(shù)進行了仿真研究,結(jié)合模型準確度評價指標歸一化均方誤差和誤差矢量幅度,功率譜圖以及相鄰信道功率比等,對仿真實驗的結(jié)果進行了分析,驗證了預(yù)失真技術(shù)的有效性。
[Abstract]:In the era of mobile Internet, broadband mobile communication equipment has become an indispensable part of everyone's life. With these mobile devices, mobile users can use social software to keep in touch with the world around them, take advantage of news clients to get the latest news, and use video and audio applications to enjoy the good times. These demands of mobile communication users greatly stimulate the growth of total information transmission. Under the realistic conditions of limited spectrum resources, it is urgent to develop and utilize modulation technology with higher spectral efficiency. Such as OFDM, to achieve the purpose of transmitting more information on limited spectrum resources. The modulation technology with high spectral efficiency modulates the unsteady envelope signal. When the signal passes through the power amplifier (power amplifier), which is a very common electronic device in the communication equipment, it is due to the nonlinear characteristics of the power amplifier. Nonlinear distortion will occur in the output signal, resulting in inter-symbol interference and spectrum spread, which seriously affects the normal transmission of the signal. The solution to the above problem is to use linearization technology of power amplifier to eliminate the nonlinear effect of power amplifier. Pre-distortion technology is an important branch of power amplifier linearization technology. With the development of digital signal processing technology, it is gradually favored and valued by the industry. The main work of this thesis is as follows: (1) the causes of nonlinear distortion in power amplifier are analyzed. Mainly from the harmonic distortion and Intermodulation distortion two aspects are explained. (2) the common behavior models of power amplifier are introduced, and the memoryless and memorized amplifier behavior models are listed respectively. The applications of various models are analyzed. (3) for memoryless and memoryless power amplifiers, the corresponding predistortion techniques are applied, and the identification methods of predistortion parameters are analyzed. For example, in the memoryless predistortion technique, polar coordinate predistortion and gain predistortion in look-up table technology, the iterative formula for solving the look-up table items is given, and the method to initialize the look-up table items without iteration is described in detail. In memory predistortion technique, the process of solving the least square method for parameter identification by memory polynomial is given. (4) two adaptive learning structures are introduced, the principles of two adaptive algorithms are expounded, and a predistortion structure block diagram is proposed. Then, two kinds of pre-distortion techniques, memoryless polynomial and memoryless polynomial, are simulated and studied. The normalized mean square error and error vector amplitude, power spectrum and adjacent channel power ratio are combined with the model accuracy evaluation index. The simulation results are analyzed to verify the effectiveness of the predistortion technique.
【學(xué)位授予單位】:武漢理工大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:TN722.75

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