High Power Amplifier Predistorter Based on Fuzzy Wavelet Neural Networks for WiMAX Signals

نویسندگان

  • Radouane Iqdour
  • Younes Jabrane
چکیده

In this paper, we present a novel predistortion method based on Fuzzy Wavelet Neural Networks (FWNN) to linearize the High Power Amplifier (HPA) for WiMAX (Worldwide interoperability for Microwave Access). To analyze and evaluate the proposal, we are considered the model of Traveling Wave Tube Amplifiers (TWTA), both memoryless and with memory. The simulation results show that the proposed scheme provide a satisfactory performances in term of Bit Error Rate (BER) and EVM criteria.

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تاریخ انتشار 2017