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An Effective LS-DFT Weiner Model Based Channel Estimation Using STBC Coding & 128-QAM Modulation Scheme in OFDM System
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  • R. Eswaramoorthi,
  • * DrSSenthilkumar,
  • Dr.L. Raja,
  • * DrAVelliangiri
R. Eswaramoorthi
KSR College of Engineering

Corresponding Author:[email protected]

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* DrSSenthilkumar
KSR College of Engineering
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Dr.L. Raja
Sri Eshwar College of Engineering
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* DrAVelliangiri
KSR College of Engineering
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Abstract

Due to the characteristics of efficient transmission method, Orthogonal Frequency Division Multiplexing (OFDM) becomes the key technology of the mobile communication network. The channel estimation (CE) is employed in channel conditions at which there is a need for time-varying features. To overcome the complexity of CE technique, this work integrates the Linear Time Invariant (LTI)-Weiner filter model based Least Square estimation (LS)-Discrete Fourier Transform (DFT). A 128-QAM modulation is applied to attain the Channel State Information (CSI) for coherent demodulation. The input binary data encoded by Space Time Block coding (STBC) technology and is being modulated by 128-QAM modulator. The pilot insertion is responsible for decreasing the spectral efficiency more effectively if the channel is a high frequency selective one or time-invariant one. IFFT transforms the signal to compressed form after which the estimated input stream is transmitted over Additive White Gaussian Noise (AWGN) for the transmission purpose. At the receiver side, the received data is demodulated by 128-QAM and decoded by STBD to attain original information. The performance of channel estimation is carried in terms of Bit Error Rate (BER), complexity and throughput which is compared with traditional methods to highlight the benefit of proposed method.