Typically, Orthogonal Frequency Division Multiplexing (OFDM) is employed extensively for wireless communication system because of its ability of high data rate transmission, its robust nature, and high bandwidth efficiency for multi-path delay constraint. In different wireless communication system (WCS) which exploits coherent identification, channel estimation (CE) is essential to design receiver. Initially, input data is generated and Low-Density Parity Check (LDPC) scheme is employed for encoding. An adaptive modulation of 64-QAM is employed to get modulated signal. The signals are passed over a channel after which the received data gets decoded and demodulated at receiver-end. At last, channel estimation performance is evaluated. The performance estimation takes place for bit error rate (BER), throughput and the outcomes are compared with traditional methods to validate the proposed scheme efficiency. From the estimated outcome, it is apparent that the channel estimation is better with improved throughput and low BER for varied channel conditions.

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A Robust Synchronization and Channel Estimation Using 64-QAM and LDPC Coding Scheme for OFDM System

  • K. Balamurugan,
  • N. Janakiraman

摘要

Typically, Orthogonal Frequency Division Multiplexing (OFDM) is employed extensively for wireless communication system because of its ability of high data rate transmission, its robust nature, and high bandwidth efficiency for multi-path delay constraint. In different wireless communication system (WCS) which exploits coherent identification, channel estimation (CE) is essential to design receiver. Initially, input data is generated and Low-Density Parity Check (LDPC) scheme is employed for encoding. An adaptive modulation of 64-QAM is employed to get modulated signal. The signals are passed over a channel after which the received data gets decoded and demodulated at receiver-end. At last, channel estimation performance is evaluated. The performance estimation takes place for bit error rate (BER), throughput and the outcomes are compared with traditional methods to validate the proposed scheme efficiency. From the estimated outcome, it is apparent that the channel estimation is better with improved throughput and low BER for varied channel conditions.