Title :
A comparison of indirect learning and closed loop estimators used in digital predistortion of power amplifiers
Author :
Braithwaite, R. Neil
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;
Conference_Titel :
Microwave Symposium (IMS), 2015 IEEE MTT-S International
Conference_Location :
Phoenix, AZ
DOI :
10.1109/MWSYM.2015.7166826