DocumentCode :
2202072
Title :
Adaptive power amplifier linearization by digital pre-distortion using genetic algorithms
Author :
Sills, JA ; Sperlich, R.
Author_Institution :
Intersil Corp., Scottsdale, AZ, USA
fYear :
2002
fDate :
2002
Firstpage :
229
Lastpage :
232
Abstract :
This paper investigates the application of genetic algorithms to PA linearization using digital pre-distortion with narrowband feedback. An algorithm is presented that adapts a polynomial pre-distortion function to minimize adjacent channel emissions. The paper describes the implementation of this algorithm and compares its performance with a random search technique. Results show nearly optimal performance in a limited number of iterations, suggesting that this technique can be employed as a low-cost solution to meet adjacent channel leakage ratio (ACLR) requirements.
Keywords :
3G mobile communication; adaptive signal processing; circuit optimisation; feedback amplifiers; genetic algorithms; linearisation techniques; power amplifiers; 3G basestation; ACLR; adaptive linearization; adjacent channel emission minimization; adjacent channel leakage ratio; digital pre-distortion; genetic algorithms; iterations; low-cost solution; narrowband feedback; optimal performance; polynomial pre-distortion function; power amplifier linearization; Bandwidth; Costs; Feedback; Genetic algorithms; Narrowband; Nonlinear distortion; Polynomials; Power amplifiers; Signal design; Table lookup;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radio and Wireless Conference, 2002. RAWCON 2002. IEEE
Print_ISBN :
0-7803-7458-4
Type :
conf
DOI :
10.1109/RAWCON.2002.1030159
Filename :
1030159
Link To Document :
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