| Summary: | 碩士 === 國立臺北科技大學 === 電子工程系研究所 === 105 === Channel fading and noise will cause the transmitted signals distortion in wireless communication system. In order to improve the problem of signal distortion, channel estimation is very important technique in the communication system. In this paper, the proposed channel estimation method is use Inverse Fast Fourier Transform (IFFT) and Fast Fourier Transform (FFT) in the time domain to eliminate the noise and optimize the linear interpolation, increasing the accuracy of channel estimation. The channel model in this experiment use Extended Pedestrian A model (EPA), Extended Vehicular A model (EVA), Extended Typical Urban model (ETU), and MIMO correlation defined in LTE-A standard. The simulation results show that the method of this paper in all channel model can improve channel estimation clearly on Es/N0 0dB to 20dB, but this method is invalid over the 20dB. Therefore, the method of this paper is suitable on SNR 0dB to 20dB, using linear interpolation results in the case which is over the 20dB.
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