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.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Published version (
Free)
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
