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A New Digital Predistortion Algorithms Scheme of Feedback FIR Cross-Term Memory Polynomial Model for Short-Wave Power Amplifier

机译:短波功率放大器跨术存储多项式模型反馈的新型数字预失真算法

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摘要

Due to the non-linear behavior, high fractional bandwidth, relatively poor circuit matching, large standing wave of output port, large fluctuation of power tube temperature of the short-wave power amplifier (PA), it is difficult to achieve the expected performance in HF (High Frequency) communication to maintain high efficiency and improve the linearity of HF power amplifier at the same time. However, there are no optimization measures for the above problems in the traditional digital pre-distortion (DPD) model, which is always recognized as an effective technique to improve system linearity and efficiency. In this paper, the new Feedback FIR Cross-term Memory Polynomial Model (MPM) to compensate the characteristics of the short-wave PA is presented. The experimental results show that, comparing with the traditional MPM DPD look-up table (LUT) method and the Generalized Memory Polynomial Model (GMPM) LUT method, this model can improve IM3 of Adjacent Channels Power Ratio (ACPR) about 10 dB.
机译:由于非线性行为,高分带宽,电路匹配相对较差,输出端口大的驻波,短波功率放大器电源管温度波动大(PA),很难达到预期的性能HF(高频)通信保持高效率,同时提高HF功率放大器的线性度。然而,传统数字预失真(DPD)模型中的上述问题没有优化措施,这始终被识别为提高系统线性度和效率的有效技术。本文介绍了新的反馈FIR交叉术存储多项式模型(MPM)来补偿短波PA的特性。实验结果表明,与传统的MPM DPD查找表(LUT)方法和广义存储器多项式模型(GMPM)LUT方法相比,该模型可以改善相邻通道功率比(ACPR)约10dB的IM3。

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