DocumentCode
726018
Title
A comparison of indirect learning and closed loop estimators used in digital predistortion of power amplifiers
Author
Braithwaite, R. Neil
fYear
2015
fDate
17-22 May 2015
Firstpage
1
Lastpage
4
Abstract
Indirect learning is often used as an estimator in digital predistortion of power amplifiers (PAs). The estimator has inherent flaws that become apparent when signal bandwidths increase. These include coefficient offsets, excessive ADC sampling requirements, and susceptibility to EVM and PA saturation. A comparison to the closed loop estimator shows that these flaws are specific to the indirect learning estimator.
Keywords
power amplifiers; ADC sampling; EVM; PA saturation; closed loop estimators; coefficient offsets; digital predistortion; indirect learning estimators; power amplifiers; signal bandwidths; Cost function; Passband; Radio frequency; Digital predistortion; power amplifiers;
fLanguage
English
Publisher
ieee
Conference_Titel
Microwave Symposium (IMS), 2015 IEEE MTT-S International
Conference_Location
Phoenix, AZ
Type
conf
DOI
10.1109/MWSYM.2015.7166826
Filename
7166826
Link To Document