Robust and fast iterative algorithm based on Levenberg-Marquardt and spectral extrapolation for wideband digital predistortion of RF power amplifiers

Haoyu Wang, Falin Liu, W. Tao
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引用次数: 3

Abstract

The analog-to-digital converter (ADC) is one of the most expensive components in an RF transmitter, conventional digital predistortion (DPD) could be seriously limited in dealing with the wideband feedback signals. Modern wireless communication systems are requiring higher data rate and wider bandwidth, a more powerful linearization technique is required. In this paper, we propose a robust iterative DPD coefficients extraction algorithm based on Levenberg-Marquardt algorithm and spectral extrapolation. By applying this method, the speed of ADC can be reduced significantly and thus save the cost. Experimental results demonstrate that the proposed method is numerically stable and more suitable for iteration than the damped Gauss-Newton method mentioned in [7].
基于Levenberg-Marquardt和频谱外推的射频功率放大器宽带数字预失真鲁棒快速迭代算法
模数转换器(ADC)是射频发射机中最昂贵的部件之一,传统的数字预失真(DPD)在处理宽带反馈信号时受到严重限制。现代无线通信系统要求更高的数据速率和更宽的带宽,需要更强大的线性化技术。本文提出了一种基于Levenberg-Marquardt算法和谱外推的鲁棒迭代DPD系数提取算法。采用这种方法可以显著降低ADC的速度,从而节省成本。实验结果表明,该方法数值稳定,比文献[7]中的阻尼高斯-牛顿法更适合迭代。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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