Title :
Experimental Evaluation of Predistortion Techniques for High-Power Amplifier
Author :
Huang, Dongliang ; Leung, Henry ; Huang, Xinping
Author_Institution :
Dept. of Electr. & Comput. Eng., Calgary Univ., Alta.
Abstract :
Modern communication systems suffer from the nonnegligible distortion caused by the inherent nonlinearity of high-power amplifiers (HPAs). As such, many methods have been proposed to mitigate this nonlinear effect. However, their performances are seldom compared, and their practicalities are rarely evaluated. In this paper, experimental setups to investigate two popular types of HPA systems have been developed: 1) the traveling wave tube amplifiers and 2) the solid-state power amplifiers. Experimental data were collected to evaluate four predistortion compensation techniques including the polynomial, rational function (RF), neural networks, and neurofuzzy methods. Using different performance measures, the experimental evaluation shows that the neuro approaches have a higher accuracy for some measures, but the tradeoff is a much higher computation cost. Overall speaking, the RF method seems to have the best balance between the compensation accuracy and complexity among the methods
Keywords :
neural nets; nonlinear distortion; polynomials; rational functions; travelling wave amplifiers; high power amplifier; modern communication systems; neural networks method; neurofuzzy methods; polynomial method; predistortion compensation techniques; rational function method; solid-state power amplifiers; traveling wave tube amplifiers; High power amplifiers; Neural networks; Nonlinear distortion; Performance evaluation; Polynomials; Power amplifiers; Predistortion; Radio frequency; Radiofrequency amplifiers; Solid state circuits; High-power amplifier (HPA); neural network (NN); neurofuzzy; polynomial; predistortion; rational function (RF);
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
DOI :
10.1109/TIM.2006.884136