Behavioral Power Amplifier Modeling Using the LASSO

被引：18
作者：
Wisell, David [1 ,2 ]
Jalden, Joakim [3 ]
Handel, Peter [2 ,3 ]
机构：
[1] Ericcson AB, SE-16480 Stockholm, Sweden
[2] Univ Gavle, Ctr RF Measurement Technol, SE-80176 Gavle, Sweden
[3] Royal Inst Technol, Signal Proc Lab, SE-10044 Stockholm, Sweden
来源：
2008 IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, VOLS 1-5 | 2008年
关键词：
Behavioral modeling; LASSO; measurement system; power amplifier; regularization;
D O I：
10.1109/IMTC.2008.4547349
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：1864 / +
页数：2
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