基于记忆多项式的近间隔信号并发双频平方根模型

Chuanchao Fan, Cuiping Yu, Yuan’an Liu
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引用次数: 0

摘要

本文提出了一种新的多项式模型来解决近双波段频谱重叠问题。该模型有效地补偿了近间隔多载波信号的非线性失真。实验结果表明,与宽带数字预失真(DPD)模型相比,该模型可将基带采样率降低75%以上。此外,该模型可以实现与宽带DPD模型相似的相邻信道功率比(acpr),并且与二维数字预失真(2D-DPD)模型相比,acpr提高了15dB以上。
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A Concurrent Dual-Band Square Root-Based Model Based on Memory Polynomial for Closely Spaced Signals
In this paper, a novel polynomial model has been proposed to solve the problem of spectral overlap occurs in close dual-band. The proposed model effectively compensates for nonlinear distortion in closely spaced multi-carrier signals. The experimental results show that the proposed model can reduce more than 75% baseband sampling rate compared with the broadband digital predistortion (DPD) model. Moreover, the proposed model can achieve the similar adjacent channel power ratios (ACPRs) as with the broadband DPD model and more than 15dB ACPRs improvement compared with the two dimensional digital predistortion (2D-DPD) model.
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