Kalman Filter Algorithm for Adaptive Digital Predistortion

نویسندگان

  • Xiaowei Kong
  • Jinzheng Li
  • Wei Xia
  • Zishu He
چکیده

This paper introduces a recursive algorithm of Kalman filter for digital predistorter parameters extraction based on memory polynomials predistorter model. The predistorter model is firstly formulated as linear regression expression. Then we derive the state-space equation of the model and attain the steps of the algorithm. Finally, the accuracy and stability of the algorithm is proved by simulation. Key words—digital predistorter, memory-polynomials model, Kalman filter, state-space equation, LMS

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تاریخ انتشار 2013