Joint Compensation of Power Amplifier Nonlinearity and Quadrature Modulator Mismatches Based on Jacobi Polynomials Nonlinear Model

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Abumoslem Jannesari Abumoslem Jannesari; Jannesari Abumoslem

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Journal Paper

Paper Information

Journal: JOURNAL OF IRANIAN ASSOCIATION OF ELECTRICAL AND ELECTRONICS ENGINEERS Year:2022 | Volume:19 | Issue:3 Page(s): 93-103

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Information Journal Paper

Title

Joint Compensation of Power Amplifier Nonlinearity and Quadrature Modulator Mismatches Based on Jacobi Polynomials Nonlinear Model

Author(s)

Abumoslem Jannesari Abumoslem Jannesari | Jannesari Abumoslem | Issue Writer Certificate

Keywords

Nonlinear modeling

Power amplifier

Digital Pre-distortion

Quadrature modulator mismatch

Orthogonal Jacobi Polynomial

Adjacent channel power ratio(ACPR)

Abstract

In this paper, a new Digital Pre-distortion model is presented for the joint compensation of Power amplifier nonlinearity, gain and phase mismatch of quadrature modulator, and frequency-dependent impairments, in indirect conversion transmitters. This pre-distorter is designed based on the diagonal Volterra kernels, which is a simplified model of the Volterra series, as its parameters are linear. So, we can use the indirect learning structure to estimate the pre-distortion parameters. Due to the numerical instability that may occur in the nonlinear modelling of the Power amplifier and its linearization, in this structure, a nonlinear model with basic functions based on the Jacobi polynomial is proposed, which significantly reduces the conditional number of the matrix of pre-distortion coefficients to less than 50 dB. Also, the power of the signal in the adjacent channel decreases by more than 17dB for the 16QAM-LTE and 64QAM-LTE input signals and 14 dB for the OFDM input signal. Simulation results in MATLAB software confirm the efficiency and performance of this model. NMSE and EVM parameters are also introduced to analyze and evaluate the proposed pre-distortion structure, which is simulated in MATLAB for the 16QAM-LTE input signal. The results showed an NMSE value of -45 dB and EVM value of -37 dB for Jacobi DPD with a DPD coefficients number of 19. The values of these parameters have been calculated and plotted for the various Jacobi polynomial orders, and the results have been significantly improved compared to the conventional memory polynomial model.

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