DocumentCode
342285
Title
Novel adaptive linearization scheme for multicarrier power amplifier using samples of multiple channels (SMC)
Author
Chia, Yan Wah Michael ; Zou, Yu ; Ko, Chi Chung
Author_Institution
Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
Volume
2
fYear
1999
fDate
36342
Firstpage
1084
Abstract
This paper presents a new adaptive method to increase the linearity and efficiency of multicarrier power amplifiers (MCPA). The proposed scheme is based on an analog predistorter whose transfer characteristic is represented by an odd-order complex polynomial. The coefficients of predistorter are obtained by canceling the third and fifth order intermodulation distortion (IMD) products of samples of multiple channels (SMC). Computer model and simulation results show that improvements in IMD reduction largely depend on number of sample channels and peak power level
Keywords
adaptive signal processing; cellular radio; digital simulation; intermodulation distortion; linearisation techniques; power amplifiers; radiofrequency amplifiers; satellite communication; signal sampling; telecommunication channels; transponders; IMD reduction; adaptive linearization; amplifier efficiency; amplifier linearity; analog predistorter; cellular base-stations; computer model; computer simulation results; fifth order intermodulation distortion product; multicarrier power amplifier; odd-order complex polynomial; peak power level; predistorter coefficients; samples of multiple channels; satellite transponder; third order intermodulation distortion product; transfer characteristic; Computer simulation; Intermodulation distortion; Linearity; Nonlinear filters; Polynomials; Power amplifiers; Power engineering and energy; Power system modeling; Sliding mode control; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference, 1999 IEEE 49th
Conference_Location
Houston, TX
ISSN
1090-3038
Print_ISBN
0-7803-5565-2
Type
conf
DOI
10.1109/VETEC.1999.780515
Filename
780515
Link To Document