Modified systolic array implementation of QRD-RLS algorithms for solving the generalized Hammerstein models

  • Authors:

  • Yan Ye;Taijun Liu;Kunsheng Ren;Xingbin Zeng

  • Affiliations:

  • College of Information Science and Engineering, Ningbo University, Ningbo, Zhejiang, China;College of Information Science and Engineering, Ningbo University, Ningbo, Zhejiang, China;College of Information Science and Engineering, Ningbo University, Ningbo, Zhejiang, China;College of Information Science and Engineering, Ningbo University, Ningbo, Zhejiang, China

  • Venue:
  • APCC'09 Proceedings of the 15th Asia-Pacific conference on Communications
  • Year:
  • 2009

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Abstract

Generalized Hammerstein models can be used to accurately mimic the dynamic nonlinear behaviors of RF power amplifiers or transmitters. A high efficient parameter extraction algorithm for the generalized Hammerstein model is an essential problem for implementing the nonlinear model in a cheap microprocessor. In this paper, a modified systolic array based QRD-RLS algorithm, which is suitable for implementing in a FPGA-based soft-core microprocessor such as Altera NIOS II, is presented to extract the parameters of the generalized Hammerstein models of an RF power amplifier. The validation results based on a LDMOS power amplifier with a 4-carrier 3GPP WCDMA signal reveal that the modified systolic array based QRD-RLS algorithm can accurately identify the model parameters.