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4-A-New-Volterra-Predistorter-Based-on-the-Indire
- In this correspondence, we present a new Volterra-based predistorter, which utilizes the indirect learning architecture to circumvent a classical problem associated with predistorters, namely that the desired output is not known in advance
5-Optimal-Digital-Volterra-Predistorter-for-Broad
- An efficient digital Volterrapredistorter ispresented to compensatefor nonlinear distortion with memory induced by a broadband RF high power amplifier. The proposed approach is based on mixeddomain Volterra system estimation and optimalpth-order
6-Digital-Predistortion-for-Power-Amplifiers-with
- Power amplifier is essential component in communication systems and it’s inherently nonlinear. This essay mainly investigate a based on Hammerstein predistorter , a memory polynomial predistorter. The Hammerstein predistorter is designed spec
7-Power-Amplifier-Adaptive-Linearization-Using-Pr
- Quadrature ampliltude modulation has high spectral efficiency but is highly sensitive to power amplifier nonlinearities. It is shown that an adaptive predistorter usig polynomial amplitude and phase predistortion functions can be used to lineariz
8-On-the-Wiener-and-Hammerstein-Models-for-Power-
- This paper presents a comparative study on the suitability of using Hammerstein or Wiener models to identify the power amplifier (PA) nonlinear behavior considering memory effects. This comparative takes into account the operational complexit
9-Adaptive-Hammerstein-Predistorter-Using-the-Rec
- The digital baseband predistorter is an effective technique to compensate for the nonlinearity of power amplifiers (PAs) with memory effects. However, most available adaptive predistorters based on direct learning architectures suffer from slow c
10.1109-MELCON.1998.692481
- The application of digital predistortion in base-band signal is an extended method of amplifier linearization to reduce the Adjacent Channel Interference (ACI) in those systems in which a varying envelope modulation scheme is used. This paper