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Different Digital Predistortion Techniques for Power Amplifier Linearization

Sezgin, Ibrahim Can LU (2016) EITM02 20161
Department of Electrical and Information Technology
Abstract
Linearity and high efficiency are crucial requirements for any power
amplifier. However, power amplifiers have high efficiency levels when they
are in non-linear regions. To overcome this issue there have been many
suggestions in literature, one of the most successful methods is digital
predistortion method.
Digital predistortion (DPD) method’s low resource usage and fairly easy
algorithm draws a lot of researcher’s attention. Many different methods are
suggested for DPD algorithms. Volterra series based methods draws even
more attention due to its flexibility and easy implementation.
However, deciding which method to use for DPD purposes is not completed
even when Volterra series based method is chosen. There are many... (More)
Linearity and high efficiency are crucial requirements for any power
amplifier. However, power amplifiers have high efficiency levels when they
are in non-linear regions. To overcome this issue there have been many
suggestions in literature, one of the most successful methods is digital
predistortion method.
Digital predistortion (DPD) method’s low resource usage and fairly easy
algorithm draws a lot of researcher’s attention. Many different methods are
suggested for DPD algorithms. Volterra series based methods draws even
more attention due to its flexibility and easy implementation.
However, deciding which method to use for DPD purposes is not completed
even when Volterra series based method is chosen. There are many different
Volterra series based methods which differ from each other. This paper
examines 5 different Volterra based methods for DPD purposes and tests
them in 2 different PAs with LTE signals. Also forward behavioral modelling
performance of these 5 methods are also examined for each PA with same
signals.
In chapter 1 needed theoretical information is explained about power
amplifier characteristics. In chapter 2, the five chosen methods are examined
in detail and corresponding parameters are explained. In chapter 3, forward
behavioral modelling setup and the way to model power amplifiers is
explained. In chapter 4, setup and the digital predistortion algorithms are
explained. In the 5th chapter the results of both behavioral modelling and
DPD is shown and comments on the results are given. (Less)
Please use this url to cite or link to this publication:
author
Sezgin, Ibrahim Can LU
supervisor
organization
course
EITM02 20161
year
type
H2 - Master's Degree (Two Years)
subject
keywords
DPD, Digital Predistortion, Forward Behavioral Modeling, Power Amplifier, Non-Linearity, Memory Effect, Volterra Series, Memory Polynomial, Generalized Memory Polynomial, Simplified Volterra Series, Augmented Complexity Reduced Generalized Memory Polynomial, Augmented Complexity Reduced Simplified Volterra
report number
LU/LHT-EIT 2016-534
language
English
id
8889791
date added to LUP
2016-08-30 14:19:32
date last changed
2016-08-30 14:19:32
@misc{8889791,
  abstract     = {{Linearity and high efficiency are crucial requirements for any power 
amplifier. However, power amplifiers have high efficiency levels when they 
are in non-linear regions. To overcome this issue there have been many 
suggestions in literature, one of the most successful methods is digital 
predistortion method. 
Digital predistortion (DPD) method’s low resource usage and fairly easy 
algorithm draws a lot of researcher’s attention. Many different methods are 
suggested for DPD algorithms. Volterra series based methods draws even 
more attention due to its flexibility and easy implementation. 
However, deciding which method to use for DPD purposes is not completed 
even when Volterra series based method is chosen. There are many different 
Volterra series based methods which differ from each other. This paper 
examines 5 different Volterra based methods for DPD purposes and tests 
them in 2 different PAs with LTE signals. Also forward behavioral modelling 
performance of these 5 methods are also examined for each PA with same 
signals.
In chapter 1 needed theoretical information is explained about power 
amplifier characteristics. In chapter 2, the five chosen methods are examined 
in detail and corresponding parameters are explained. In chapter 3, forward 
behavioral modelling setup and the way to model power amplifiers is 
explained. In chapter 4, setup and the digital predistortion algorithms are 
explained. In the 5th chapter the results of both behavioral modelling and 
DPD is shown and comments on the results are given.}},
  author       = {{Sezgin, Ibrahim Can}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Different Digital Predistortion Techniques for Power Amplifier Linearization}},
  year         = {{2016}},
}