Title :
Neuro-fuzzy approach to adaptive digital predistortion
Author :
Lee, K.C. ; Gardner, P.
Author_Institution :
Electr. & Comput. Eng. Dept., Univ. of Birmingham, UK
Abstract :
A neuro-fuzzy approach to adaptive digital predistortion is presented. The hybrid approach is called adaptive neuro-fuzzy inference system and uses real-time modelling of the power amplifier responses. Measurement results show that the linearity of a two-tone signal is improved by 26.3 dB, while the noise floor of a WCDMA signal is improved by at least 12 dB.
Keywords :
adaptive signal processing; adaptive systems; code division multiple access; fuzzy neural nets; fuzzy set theory; fuzzy systems; inference mechanisms; nonlinear distortion; power amplifiers; WCDMA signal; adaptive digital predistortion; adaptive neuro-fuzzy inference system; fuzzy set theory; noise floor; nonlinear distortion; power amplifier; real time modelling; two tone signal linearity;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20040154
