DocumentCode
3360168
Title
Nonlinear Distortion Cancellation using Particle Swarm Optimization (PSO) based Predistortion in OFDM systems
Author
Carro, Pedro Luis ; Dúcar, Paloma García ; De Mingo, Jesús ; Valdovinos, Antonio
Author_Institution
Zaragoza Univ., Zaragoza
fYear
2007
fDate
1-5 July 2007
Firstpage
1
Lastpage
5
Abstract
A new adaptive digital predistorter based on the use of PSO (particle swarm optimization) algorithm is developed and applied in an orthogonal frequency-division multiplexing (OFDM) transmission scheme, such as a WiMAX system. OFDM transmission is an efficient way to deal with multipath, being its implementation less complex than traditional equalizers, however, it is also very sensitive to nonlinear distortions due to its greatly variable envelope. The performance of this method has been verified by means of simulation and has been compared to the well-known LMS (least mean squares) algorithm. In both cases, a reduction in out-of-band distortion around 20 dB is obtained when the power amplifier works with a 6 dB output backoff (OBO). Both estimation algorithms are presented and discussed.
Keywords
OFDM modulation; WiMax; equalisers; least mean squares methods; nonlinear distortion; particle swarm optimisation; OFDM systems; WiMAX system; adaptive digital predistorter; least mean squares algorithm; nonlinear distortion cancellation; orthogonal frequency-division multiplexing transmission scheme; out-of-band distortion; output backoff; particle swarm optimization; Adaptive systems; Equalizers; Frequency division multiplexing; Least squares approximation; Nonlinear distortion; OFDM; Particle swarm optimization; Power amplifiers; Predistortion; WiMAX;
fLanguage
English
Publisher
ieee
Conference_Titel
Mobile and Wireless Communications Summit, 2007. 16th IST
Conference_Location
Budapest
Print_ISBN
963-8111-66-6
Electronic_ISBN
963-8111-66-6
Type
conf
DOI
10.1109/ISTMWC.2007.4299194
Filename
4299194
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