一种数字预失真和峰均比削峰法联合优化方法研究

A Study on the Joint Optimization Method of Digital Predistortion and Peak-to-Average Power Ratio Clipping.

摘要:

现代信息通信技术飞速发展，单一数字预失真技术或峰均比抑制方法无法最大化减少信号的非线性失真，提高发射机能效；通过对数字预失真和峰均比限幅法联合算法的研究，分别优化预失真系统的功率放大器建模和限幅系统的信号处理方式，进一步提高功率放大器工作效率。对功放行为模型建模引入更多记忆效应特性，经实验测试归一化均方误差可降低19.87 dB；采用阈值分解技术处理输入信号并测试削峰法对信号峰均比的抑制效果，实验结果左边带ACPR值下降19.72 dBc，右边带ACPR下降17.46 dBc，峰均比下降2.54 dB，满足了精确描述信号的记忆效应的要求，降低了功率放大器非线性失真和峰均比。

Abstract:

The rapid development of modern information and communication technology makes it difficult for single digital predistortion techniques or peak-to-average power ratio suppression methods to maximize the reduction of signal nonlinear distortion and improve the transmitter efficiency. By studying the joint algorithm of digital predistortion and crest factor reduction, the power amplifier modeling of the predistortion system and the signal processing method of the clipping system are optimized, further enhancing the power amplifier's operational efficiency. More memory effect characteristics are introduced into the power amplifier behavioral model. Simulation results show that the normalized mean square error decreases by 19.87 dB. The input signal is processed using threshold decomposition technology, and the peak-to-average power ratio suppression effect of the clipping method is tested. Experimental results show that the left-side ACPR value decreases by 19.72 dBc and the right-side ACPR value decreases by 17.46 dBc, and the PAPR is reduced by 2.54 dB. These results meet the requirements for accurately describing the signal's memory effect and reduce both the nonlinear distortion of the power amplifier and the PAPR.