Compensation of I/Q impairments and nonlinear distortion in MIMO wireless transmitters

Saffar, D.; Boulejfen, Noureddine; Ghannouchi, Fadhel M.; Helaoui, Mohamed; Gharssalah, A.

doi:10.1109/newcas.2013.6573627

Cited by 5 publications

(1 citation statement)

References 14 publications

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“…In [8] a dynamic deviation reduction model has been suggested for modelling single input PAs. In [9]- [13], reduced polynomial models have been proposed for modelling MIMO PAs. Saffar et al [14], addressed the joint mitigation of I/Q modulator impairment and PA nonlinearity in MIMO transmitters through an optimized memory polynomial model.…”

Section: Introductionmentioning

confidence: 99%

Robust Modeling and Linearization of MIMO RF Power Amplifiers for 4G and 5G Applications

Zemzemi¹,

Lejnef²,

Boulejfen³

et al. 2018

ijacsa

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In this paper, a novel set of orthogonal crossover polynomials for the baseband modelling and linearization of MIMO RF Pas is presented. The proposed solution is applicable to WCDMA and LTE applications. The new modelling approach has considerably reduced the numerical instability problem associated with the conventional polynomial model identification. In order to validate the efficiency and the robustness of the proposed solution, a 2x2 MIMO LDMOS RF power amplifier has been measured modelled and linearized. A comparison with the conventional polynomial MIMO models showed clearly the superiority of the proposed solution in a fixed-point calculation environment such as DSP and FPGA boards. Keywords-MIMO transmitter; RF power amplifiers; orthogonal polynomials; nonlinear transmitters; digital predistortionI.The organization of the paper is as follows. In Section. 2, we introduce the reference crossover conventional polynomials

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