Title :
Amplifier predistortion method based on support vector machine
Author :
Chen, Kaiya ; Wang, Minxi ; Li, Xusheng
Author_Institution :
Electromagn. Inst., Southwest Jiaotong Univ., Chengdu, China
Abstract :
Support vector machine (SVM) is a new general learning machine, which can approximate any function at any accuracy. The baseband predistortion method for amplifier is studied based on SVM. Simulation shows good linearization results and good generalization performance.
Keywords :
amplifiers; circuit analysis computing; generalisation (artificial intelligence); learning (artificial intelligence); linearisation techniques; support vector machines; amplifier predistortion method; baseband predistortion method; learning machine; support vector machine; Baseband; Character generation; Kernel; Linear regression; Machine learning; Neural networks; Predistortion; Quadrature phase shift keying; Signal generators; Support vector machines;
Conference_Titel :
Microwave Conference Proceedings, 2005. APMC 2005. Asia-Pacific Conference Proceedings
Print_ISBN :
0-7803-9433-X
DOI :
10.1109/APMC.2005.1607109
