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Channel Estimation using Discrete Fourier Transform (DFT) for MIMO Systems


Chaitra Anantpur , R.V.College of Engineering; P. N. Jayanthi, R.V.College of Engineering


Orthogonal Frequency Division Multiplexing (OFDM), Discrete Fourier Transform (DFT), Channel State Information (CSI), Minimum Mean Square Error (MMSE), Least Square (LS), Channel Estimation


DFT-based channel estimation method for pilot-type OFDM systems which mainly improves the performance has been introduced. Channel estimation based on pilot-type arrangement is studied through Discrete Fourier Transform (DFT) algorithm. Channel State Information (CSI) is useful at receiver to remove effect of channel in received signal for efficient recovery of data and at transmitter which is useful to vary power allocation and modulation order according to channel. The performance and complexity comparison is made between the Minimum Mean Square Error (MMSE), Least Square (LS) with and without Discrete Fourier Transform (DFT)-based technique. From the simulation results, it is concluded that the performance of DFT-base technique for MMSE is better than the LS. Thus simulation results show the performance which reduced the computation complexity.

Other Details

Paper ID: IJSRDV6I40445
Published in: Volume : 6, Issue : 4
Publication Date: 01/07/2018
Page(s): 1156-1157

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