Different Digital Predistortion Techniques for Power Amplifier Linearization
(2016) EITM02 20161Department 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:
http://lup.lub.lu.se/student-papers/record/8889791
- author
- Sezgin, Ibrahim Can LU
- supervisor
- organization
- course
- EITM02 20161
- year
- 2016
- 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}}, }