A Square-Root-Based Memory Polynomial Model for Concurrent Dual-Band Digital Predistortion

A Square-Root-Based Memory Polynomial Model for Concurrent Dual-Band Digital Predistortion
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基于平方根的并发双频带数字预失真记忆多项式模型

DOI:
10.1109/lmwc.2018.2886634
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发表时间:
2019-01
影响因子:
3
通讯作者:
Li Yaqiu
Li Yaqiu
中科院分区:
工程技术2区
文献类型:
--
作者:
Yu Cuiping;Fan Chuanchao;Meng Xiangyu;Li Jiuchao;Liu Feng;Liu Yuanan;Li Yaqiu

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本文提出了一种新的基于二维平方根的记忆多项式行为模型。采用一组新的平方根基函数来描述预失真器的特性。由于该模型只有两个嵌套求和,因此与有三个嵌套求和的模型相比,该模型的系数数目大大减少。实验结果表明,与二维数字预失真(2D-DPD)模型相比,该模型可以将系数降低66.7%以上。此外,该模型可以获得更好的邻道功率比(ACPR)性能。与2D-DPD模型和简单的在线系数修正模型相比,该模型可以将归一化均方误差提高11dB。与二维修正记忆多项式模型相比,该模型可以在较短的运行时间内获得与ACPR相似的性能。
In this letter, a novel 2-D square-root-based memory polynomial behavioral model is proposed. A new set of square-root-based basic functions is adopted to describe the characteristic of the predistorter. Since the proposed model has only two nested summations, the number of coefficients of the proposed model is greatly reduced compared with models which have three nested summations. The experimental results show that the proposed model can reduce the coefficients by more than 66.7% compared with the 2-D digital predistortion (2D-DPD) model. Moreover, the proposed model can achieve better adjacent channel power ratio (ACPR) performance. Compared with the 2D-DPD model and the simple online coefficient update model, the proposed model can improve the normalized mean-square error by 11 dB. Compared with the 2-D modified memory polynomial model, the proposed model can obtain similar ACPR performance with a shorter running time.
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发表时间: 2011-09
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