An adaptive digital predistortion for compensating nonlinear distortions in RF power amplifier with memory effects |
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| Affiliation: | 1. Department of Electrical and Electronic Engineering (CTC/UFSC) 88040 Florianópolis, Brazil;2. INESC-ID, IST, Universidade de Lisboa, 1000‐029 Lisbon, Portugal;3. Department of Electrical and Electronic Engineering (CTC/UFSC) 88040 Florianópolis, Brazil;4. INESC-ID, IST, Universidade de Lisboa, 1000‐029 Lisbon, Portugal;1. Department of Electrical Engineering, National Central University, Jhongli, Taoyuan 32001, Taiwan;2. Department of Electrical Engineering, Chang Gung University, KweiShan, Taoyuan 33302, Taiwan;1. Polytechnique Montreal, Canada;2. CEA-Leti, Grenoble, France;3. Université du Québec à Montréal (UQAM), Canada |
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| Abstract: | In this paper, an adaptive digital predistortion based on a memory polynomial model is proposed in order to linearize the power amplifier with memory effect. The coefficients of the power amplifier model have been extracted using a least square method and those of predistortion have been identified by applying an indirect learning structure. Finally, the performance of digital predistortion has been demonstrated using the simulation of the power amplifier and the digital predistortion excited by a modulated 16 QAM signal in Matlab software. According to the simulation results, the criterion of adjacent channel power ratio (ACPR) declined by around 15 dB and the input/output power spectrum density of the power amplifier has quite similar curves. The linearized power amplifier output spectrum demonstrates the superiority of the proposed predistorter in eliminating the spectral regrowth which is caused by the memory effect in comparison to the other linearization methods. |
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| Keywords: | Power amplifier (PA) Linearity Digital predistortion (DPD) Memory effect Adjacent channel power ratio (ACPR) Memory polynomial |
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