2D-FFT Based Equalization Scheme of OFDM for Mobile Communication
Enhance the quality of mobile communication using a novel 2D-FFT based equalization scheme for OFDM. This approach addresses issues like Doppler shift and multi-path fading, surpassing previous methods in accuracy and performance. Explore the technical aspects, proposal method, and simulation results in this comprehensive study.
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Presentation Transcript
A 2D-FFT based Equalization Scheme of OFDM for Mobile Communication Toru KAWAGUCHI Eiji OKAMOTO Yasunori Iwanami Yasuto Matsuda Fire Wada Laboratory Graduate School Engineering and Science
Table of Contents 1.Background Technical issues 2.Previous Method 3.Proposal Method 4.Summary
Background The quality of mobile communication is degraded by Doppler Shift. The amplitude and phase are distorted by the multi-path fading.
Previous Method PSAM(Pilot Symbol Assisted Modulation) Gauss Interpolation Method -linear interpolation Estimation accuracy is deteriorated because the fading fluctuation becomes early.
FFT and 2D-FFT Frame of FFT Frame of 2D-FFT
FFT and 2D-FFT Interpolation of FFT Interpolation of 2D-FFT
Simulation Condition Modulation QPSK Subcarrier Number 64 Symbol time Ts Guard Interval Length 10Ts N Pilot Symbol Insert Interval 4 symbols 4 symbols t N f N Frame Number of Ezualization 4 symbols 16 symbols pt N pf
Simulation of flat Rayleigh fading environment f DT E b/N BER to BER to S 0 The BER of Proposal method is better than Previous method.
Simulation of 10 path Rayleigh fading environment f DT BER to Simulation Condition S Modulation QPSK Subcarrier Number 64 Symbol Times Ts Guard Interval Length 10Ts Delay Time Ts Pilot Symbol Insert Interval 4 symbols 4 symbols N t N f Frame Number of Ezualization 4 symbols 16 symbols N pt N pf
Simulation of 10 path Rayleigh fading enviroment The BER is due to a difference in Power attenuation ratio f DT BER to S The BER of Proposal method is better than Previous method.
Summary We propose an OFDM equalization scheme based on the pilot symbol equalization using 2D-FFT to raise the accuracy of estimation. The BER of Proposal method is better than Previous method.
