Comparative analysis of power amplifiers' polynomial based models identification using RLS algorithm

2016 ◽  
Author(s):  
Abubaker Abdelhafiz ◽  
Fadhel M. Ghannouchi ◽  
Oualid Hammi ◽  
Azzedine Zerguine
Keyword(s):  
Comparative Analysis ◽  
Power Amplifiers ◽  
Rls Algorithm

A Parallelizable Adaptive Method to Update Close-Loop Digital Predistorter for RF Power Amplifiers

2011 ◽  
Vol 130-134 ◽  
pp. 4252-4255
Author(s):  
Jin Zheng Li ◽  
Wei Xia ◽  
Zi Shu He ◽  
De Jun Zeng ◽  
Xiao Wei Kong
Keyword(s):  
Power Amplifiers ◽  
Code Division Multiple Access ◽  
Adaptive Method ◽  
Computational Time ◽  
Rf Power Amplifiers ◽  
Rf Power ◽  
Rls Algorithm ◽  
Multiple Processors ◽  
Code Division Multiple ◽  
Digital Predistorter

This paper presents a parallelizable adaptive method to estimate and update close-loop digital predistorter for RF power amplifiers. The proposed scheme can be realized with multiple processors which can save computational time and be used in real-time implementation. By using a three-carrier wideband code-division multiple access (WCDMA) signal, the scheme is tested in the way of 3 branches in Nios II. Results show that the performance is approximate to that based on RLS algorithm and the time the scheme expensed is much less than that RLS needed.

Comparative Analysis of the Effect of Loaded Quality Factor, Technology Node and Operating Frequency on Various Class E Power Amplifier Topologies

2020 ◽  
pp. 2150083
Author(s):  
Mir Mohsina Rahman ◽  
G. M. Rather
Keyword(s):  
Comparative Analysis ◽  
Quality Factor ◽  
Power Amplifier ◽  
Power Amplifiers ◽  
Operating Frequency ◽  
Resonant Circuit ◽  
Circuit Parameter ◽  
Power Added Efficiency ◽  
Technology Node ◽  
Class E

This paper aims to explore and compare the dependence of power amplifier performance parameters on the loaded quality factor of the resonant circuit, the technology node used and the operating frequency for different variants of the class E power amplifier. In spite of the fact that the circuit parameter variations of the basic class E amplifier are present in the literature, there is a lack of comparative analysis with respect to other class E power amplifiers based on diverse tuned load networks. Moreover, the effects of these three parameters are rarely discussed. The comparative analysis helps the designers to narrow down the selection of a power amplifier to be used for a particular application. This study is focused on the use of class E power amplifiers in biomedical implants at the Medical Implant Communication Service band and Industrial Scientific and Medical band. It is observed that the power added efficiency and the power gain have an inverse dependence on the loaded quality factor, frequency and the technology node while the output power depends directly on these parameters.

An Improved Direct Learning Architecture for Satellite High Power Amplifiers Pre-Distortion

2013 ◽  
Vol 340 ◽  
pp. 1020-1024
Author(s):  
Mao Qiang Yang ◽  
Dao Xing Guo ◽  
Xiao Fei Pan ◽  
Lu Lu ◽  
Long Yang
Keyword(s):  
High Power ◽  
Power Amplifiers ◽  
Power Spectrum Density ◽  
Least Square ◽  
Recursive Least Square ◽  
Rls Algorithm ◽  
Ground Station ◽  
Spectrum Density ◽  
Simulation Results ◽  
Direct Learning

The pre-distortion techniques based on traditional direct learning architecture (DLA) are commonly used to linearize high power amplifiers (HPAs) settled in ground-station or on board satellite merely, which cannot achieve a satisfying linearization. In this paper, an improved DLA, considering the satellite channel features with two HPAs in the loop, is put forward. Nonlinear polynomial with 7 order and 4 memory depth is utilized as pre-distorter and recursive least square (RLS) algorithm is adopted for its parameters updating. Simulation results show that with pre-distortion the power spectrum density (PSD) of 16APSK signal achieves about 7.2dB improvement, the EVM of signal constellation is greatly improved up to 61.83%, and desirable system linearization performance is acquired.

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