Title :
A behavioral modeling method for nonlinear systems with sparse delay characteristic
Author :
Liang Jia ; Fei You ; Songbai He
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
A sparse delay technique on Memory Polynomial (MP) model of Power Amplifiers (PAs) is presented in this paper. A filter with variable delay taps, which is called an Adaptive Delay Filter (ADF) [1]-[3], is required. It is especially useful to modeling the sparse impulse response system with few elements [4]. Also, the speed of identifying PAs with MP models can be improved by the technique, if they are sparse delay systems. A Mean-Squared Error (MSE) surface is analyzed to determine the delay taps. Simulation results of the technique and the conventional approach using Least-Mean-Square (LMS) [9] algorithm are also compared here.
Keywords :
adaptive filters; delay filters; least mean squares methods; power amplifiers; transient response; ADF; LMS algorithm; MP model; MSE surface; PA; adaptive delay filter; behavioral modeling method; least-mean-square algorithm; mean-squared error surface; memory polynomial model; nonlinear systems; power amplifiers; sparse delay characteristic; sparse impulse response system; variable delay taps; Adaptation models; Computational modeling; Computer aided software engineering; Delays; Educational institutions; Least squares approximations; Sparse matrices;
Conference_Titel :
Communications, Circuits and Systems (ICCCAS), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-3050-0
DOI :
10.1109/ICCCAS.2013.6765384
