2016
DOI: 10.1109/lmwc.2016.2548984
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A Dual-Input Two-Box Model for Digital Predistortion of Envelope Tracking Power Amplifiers

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Cited by 5 publications
(3 citation statements)
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“…Several shaping functions have been proposed to shape the original envelope in the envelope generation block. N6, 16–18 Wilson 16 and power envelope tracking (PET) 19 function can make a good trade‐off between linearity and efficiency of the PA, however, the bandwidth of its corresponding envelope is fixed once the original envelope and swing range is determined. Besides, several bandwidth reduction techniques have been proposed to relieve the bandwidth requirements of the supply modulator.…”
Section: Introductionmentioning
confidence: 99%
“…Several shaping functions have been proposed to shape the original envelope in the envelope generation block. N6, 16–18 Wilson 16 and power envelope tracking (PET) 19 function can make a good trade‐off between linearity and efficiency of the PA, however, the bandwidth of its corresponding envelope is fixed once the original envelope and swing range is determined. Besides, several bandwidth reduction techniques have been proposed to relieve the bandwidth requirements of the supply modulator.…”
Section: Introductionmentioning
confidence: 99%
“…Before linearizing with DPD, an accurate behavioral model for PAs is necessary. There have been many models reported, such as the generalized memory polynomial (MP), decomposed vector rotation, twin nonlinear two‐box, reduced look‐up‐tables, two‐box dual‐input single‐output, and so on. However, all the above models only take care of the IMD, and as a matter of fact, the harmonic distortion is not included in the models.…”
Section: Introductionmentioning
confidence: 99%
“…A joint polynomial/LUT two-box model [7] separates dynamic weak nonlinearity from static strong non-linearity, effectively simplifying model complexity. The dynamic weak non-linearity is implemented by a low-order memory polynomial, while the static strong non-linearity is implemented by a LUT.…”
Section: Introductionmentioning
confidence: 99%