功率放大器數(shù)字預(yù)失真建模研究
[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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