本文選題：衛(wèi)星通信　切入點(diǎn)：預(yù)失真　出處：《北京交通大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著衛(wèi)星通信行業(yè)的迅速發(fā)展,高效調(diào)制技術(shù)與功率放大器逐漸廣泛應(yīng)用于通信系統(tǒng),而這些非恒包絡(luò)、高均峰比的調(diào)制信號(hào)經(jīng)過高效功率放大器后會(huì)發(fā)生嚴(yán)重的失真,如帶內(nèi)失真與帶外失真。其中帶內(nèi)失真表現(xiàn)為信號(hào)幅度與相位的失真,會(huì)增加誤碼率;帶外失真則會(huì)造成頻譜擴(kuò)展,產(chǎn)生鄰道干擾,降低頻譜利用率。如何通過預(yù)失真技術(shù)在保證功率放大器效率的同時(shí),提高功率放大器的線性度是功放線性化技術(shù)研究的熱點(diǎn)。本文著重對(duì)數(shù)字基帶預(yù)失真系統(tǒng)中的自適應(yīng)算法進(jìn)行了研究與改進(jìn),論文工作如下:(1)基于記憶多項(xiàng)式的數(shù)字基帶預(yù)失真技術(shù),本文深入研究了傳統(tǒng)的自適應(yīng)算法,并在此基礎(chǔ)上提出了一種新的自適應(yīng)步長LMS算法,即GN-LMS算法。通過仿真驗(yàn)證了該算法在收斂速度與精度上都有所改善。(2)通過對(duì)傳統(tǒng)的LMS算法與RLS算法的研究與對(duì)比,發(fā)現(xiàn)這兩類算法的優(yōu)缺點(diǎn)具有一定的互補(bǔ)性,所以本文通過判斷切換的方式將GN-LMS算法與RLS算法結(jié)合,得到新的判斷切換算法,該算法能較好的綜合這兩類自適應(yīng)算法的優(yōu)勢(shì),并在預(yù)失真系統(tǒng)仿真中驗(yàn)證了該算法的有效性。(3)對(duì)復(fù)數(shù)域自適應(yīng)算法中經(jīng)典的CNGD算法與CRTRL算法進(jìn)行了研究,在此基礎(chǔ)上提出了一種基于PRNN的N-AACRTRL算法,在該算法中使用PRNN網(wǎng)絡(luò)模型可以有效降低計(jì)算過程中的矩陣維度、減少計(jì)算復(fù)雜度;引入自適應(yīng)幅度提高算法收斂性能,同時(shí)在權(quán)值矩陣更新過程中引入的高斯牛頓迭代法,不僅加入了二階導(dǎo)數(shù),而且化簡了矩陣求逆部分,一定程度上提高了算法的收斂速度。通過預(yù)失真仿真驗(yàn)證了基于PRNN的N-AACRTRL算法能較好的補(bǔ)償系統(tǒng)的非線性,有效抑制鄰道頻譜擴(kuò)展。
[Abstract]:With the rapid development of satellite communication industry, high efficiency modulation technology and power amplifier are widely used in communication system, but these non-constant envelope, high average peak ratio modulation signal will have serious distortion after high efficiency power amplifier. For example, in-band distortion and out-of-band distortion, in which the in-band distortion is the distortion of the amplitude and phase of the signal, will increase the bit error rate, while the out-of-band distortion will result in the spread of the spectrum and the adjacent channel interference. Reducing spectral efficiency. How to ensure the efficiency of power amplifier by predistortion technology, Improving the linearity of power amplifier is a hot topic in the research of power amplifier linearization technology. This paper focuses on the research and improvement of adaptive algorithm in digital baseband predistortion system. The main work of this paper is as follows: (1) based on the digital baseband predistortion technique based on memory polynomials, the traditional adaptive algorithm is studied in this paper, and a new adaptive step size LMS algorithm is proposed. That is, GN-LMS algorithm. The simulation results show that the convergence speed and precision of the algorithm are improved. (2) through the research and comparison of the traditional LMS algorithm and the RLS algorithm, it is found that the advantages and disadvantages of the two algorithms are complementary to each other. So this paper combines the GN-LMS algorithm with the RLS algorithm by the way of judging the handover, and obtains a new algorithm, which can integrate the advantages of the two kinds of adaptive algorithms. In the simulation of predistortion system, the validity of this algorithm is verified. (3) the classical CNGD algorithm and CRTRL algorithm in complex domain adaptive algorithm are studied, and a N-AACRTRL algorithm based on PRNN is proposed. In this algorithm, using PRNN network model can effectively reduce the matrix dimension and reduce the computational complexity, introduce adaptive amplitude to improve the convergence performance of the algorithm, and introduce Gao Si Newton iteration method in the updating process of weight matrix. Not only the second derivative is added, but also the inverse part of the matrix is simplified, the convergence speed of the algorithm is improved to a certain extent. The results of pre-distortion simulation show that N-AACRTRL algorithm based on PRNN can compensate the nonlinearity of the system well. The spectrum spread of adjacent channels is effectively suppressed.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TN722.75;TN927.2

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