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2014-02-20

An Accurate Complexity-Reduced Simplified Volterra Series for RF Power Amplifiers

By Gang Sun, Cuiping Yu, Yuan'an Liu, Shulan Li, and Jiuchao Li
Progress In Electromagnetics Research C, Vol. 47, 157-166, 2014
doi:10.2528/PIERC13121201

Abstract

An accurate complexity-reduced simplified Volterra (ACR-SV) series is introduced for RF power amplifiers (PAs). Based on the conventional simplified Volterra (SV) series, it takes memoryless nonlinearity and memory effect into consideration separately, while connected with a nonlinear memory effect (NME) in order to increase accuracy of the model. The proposed ACR-SV model is assessed using a GaN Class-F PA driven by two modulated signals (a WCDMA 1001 signal and a single carrier 16QAM signal with 40 MHz band width). The experimental results in forward modeling and DPD application demonstrate that the proposed ACR-SV model outperforms the memory polynomial (MP) model, the augmented complexity-reduced generalized memory polynomial (ACR-GMP), and the SV model. Compared with the MP model, the ACR-SV model shows a normalized mean square error (NMSE) improvement of 2.61 dB in forward modeling, average adjacent channel power ratio (ACPR) improvement of 3.7/4.2 dB in the DPD application with less 13% number of model coefficients. In comparison with the ACR-GMP model, the ACR-SV model shows NMSE improvement of 1.39 dB, ACPR improvement of 0.7/0.6 dB with comparable number of model coefficients. In contrast with the SV model, the ACR-SV model achieves similar model accuracy, but reduces approximately 53% of coefficients.

Citation


Gang Sun, Cuiping Yu, Yuan'an Liu, Shulan Li, and Jiuchao Li, "An Accurate Complexity-Reduced Simplified Volterra Series for RF Power Amplifiers," Progress In Electromagnetics Research C, Vol. 47, 157-166, 2014.
doi:10.2528/PIERC13121201
http://jpier.org/PIERC/pier.php?paper=13121201

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