在過去，資料傳輸的速率及訊號品質皆遠不及現今處處普及之4G 與5G 的高速無線傳輸，原因之一為今日的無線通訊系統架構中，採用數位預失真做為資料傳送端之訊號補償技術，儘管資料傳輸過程中的接收端和傳送端皆須有良好的訊號品質，但無線通訊系統中傳送端的基本訊號品質對傳輸速率之影響更鉅。近幾年來，已有多項關於數位預失真技術之研究，例如：多項式基頻數位預失真及查表式基頻數位預失真…等。在本研究中，將以查表式數位預失真技術為主，比較數種不同數位預失真架構及其差異，並且採用如LMS（Least Mean Square）、Interpolation、及Adaptive system…等相關的演算法，以獲得不同參數設定所呈現的模擬結果，進而探討在功率放大器加入PA Identification（功率放大器識別器）的技術，比較其相對應的成效及不同架構應用之優劣性，主要研究目的為使數位預失真的收斂速度可以有效的提高，且使功率放大器的輸出能夠更接近由系統傳送給功率放大器的原始輸入訊號，藉此研究結果優化整體數位預失真的收斂時間與功率放大器輸出的訊號品質。;The data transmission rate and signal quality have been significantly improved in wireless transmission such as 4G and 5G nowadays. One of the reasons leading to better results is to adopt digital predistortion as the compensation technology for power amplifiers (PA) in the present wireless communication systems. Although during the process of data transmission, the receiver and the transmitter both have to be equipped with good signal quality, the signal quality of the transmitter in a wireless communication system has important influence on data transmission rate. In the recent years, there have been many studies on digital presdistortion technology such as polynomial baseband digital predistortion and look-up-table digital predistortion and so on. In this study, look-up-table digital predistortion is considered with comparing several kinds of digital interpolation methods. In addition, some algorithms such as Least Mean Square (LMS), interpolation, and the adaptive PA identification structure were applied in order to compare simulation results due to different parameter settings. This study also involves the technique of applying PA identification for the PA. The main purpose of this study is to upgrade the convergence of digital predistortion more efficiently and to enable the output of the PA to be approach the original input signals.
