Behavioral Power Amplifier Modeling Using the LASSO

• In this paper we use regularization; in the form of the LASSO, as identification procedure in order to find the parameters of the parallel Hammerstein model for behavioral power amplifier modeling. It is shown that the LASSO chooses a subset of the parameters of the parallel Hammerstein model in a systematic way and thereby reduces the number of model parameters while maintaining the performance. The values of the parameters are also smaller than when the ordinary least-squares algorithm is used for the parameter extraction since the LASSO imposes a limit on the L1-norm of the parameters Thus, the problem with larger and sometimes very large, parameters that is often encountered in behavioral power amplifier modeling is avoided Experimental results from measurements on a power amplifier intended for the 3G WCDMA system is provided to support the theory.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Annan elektroteknik och elektronik (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)

Nyckelord

Behavioral modeling

LASSO

measurement system

power amplifier

regularization

Systems engineering

Systemteknik

Electronics

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