摘要

According that the energy of periodic sequence mainly concentrates on a few frequency points, based on data fitting, a novel periodic PN sequence time-vary channel estimation method was proposed. Utilizing the auto-correlation characteristic of PN sequence, the impact of interference on pilot could be reduced in time domain; meanwhile, the number of the fitting data could be increased by using the periodicity character of pilots; based on time averaging value of channel, the estimation parameter could be adjusted further, and the accuracy of channel estimation could be improved efficiently. Extensive experiment results show that the proposed algorithm is superior to other existing algorithms in performance of BER and MSE. It can also be applied for low signal-noise-ratio (SNR) circumstances.

  • 出版日期2010
  • 单位Polytechnic university

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