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

机译:基于Levenberg-Marquardt和频谱外推的鲁棒快速迭代算法,用于射频功率放大器的宽带数字预失真

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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].
机译:模数转换器(ADC)是RF发射器中最昂贵的组件之一,传统的数字预失真(DPD)可以严重限制在处理宽带反馈信号。现代无线通信系统需要更高的数据速率和更广泛的带宽,需要更强大的线性化技术。本文提出了一种基于Levenberg-Marquardt算法的鲁棒迭代DPD系数提取算法和光谱推断。通过应用这种方法,可以显着降低ADC的速度,从而节省成本。实验结果表明,所提出的方法是数值稳定的,更适合于[7]中提到的阻尼高斯 - 牛顿方法。

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