Performance Analysis of OFDM Transceiver with Folded FFT and LMS Filter

نویسندگان

  • Esai Amudha Vani
  • Joseph Gladwin
چکیده

This paper presents an Orthogonal Frequency Division Multiplexing (OFDM) transceiver that makes use of a low power Fast Fourier Transform (FFT) along with a Least Mean Square (LMS) filter. The folded FFT is developed via folding transformation and register minimization techniques with real values as inputs which leads to reduction in hardware complexity by exploiting the redundancy present in computing the FFT samples and also the amount of power consumed. A LMS filter is also designed for the purpose of noise removal. The OFDM transceiver with the folded FFT and LMS filter is analyzed in terms of error performance to validate the advantages of less power consumption and hardware utilization when compared to the traditional OFDM system with conventional FFT. The individual components and the entire OFDM system that has been proposed are modeled using Verilog HDL and functionally verified using Xilinx ISIM simulator.

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تاریخ انتشار 2014