DocumentCode
1805389
Title
A modified RLS algorithm for identification of power amplifier nonlinear model
Author
Li, You ; Zhang, Xiaolin
Author_Institution
Sch. of Electron. & Inf. Eng., Beihang Univ. Beijing, Beijing, China
Volume
4
fYear
2011
fDate
24-26 Dec. 2011
Firstpage
2307
Lastpage
2310
Abstract
Identifying accurately the parameters of power amplifier (PA) nonlinear model is essential in modeling and predistortion of PA. RLS (Recursive Least Square) is a common used algorithm in parameter identification. The proposed algorithm modifies the cost function of the conventional RLS by multiplying a weighting function. The simulation results verify that the modified algorithm has better normalized mean square error (NMSE) performance than the conventional RLS.
Keywords
mean square error methods; parameter estimation; power amplifiers; recursive estimation; NMSE performance; cost function; modified RLS algorithm; normalized mean square error performance; parameter identification; power amplifier nonlinear model; recursive least square; weighting function; PA; RLS; identification; modeling; nonlinear;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4577-1586-0
Type
conf
DOI
10.1109/ICCSNT.2011.6182435
Filename
6182435
Link To Document