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
复制标题
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
中科院分区:
文献类型:
--
作者:
Yu Cuiping;Fan Chuanchao;Meng Xiangyu;Li Jiuchao;Liu Feng;Liu Yuanan;Li Yaqiu
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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影响因子:
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