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SNR estimation algorithm based on the preamble for wireless OFDM systems

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Abstract

Based on the analysis of the performance of Boumard’s SNR method for wireless orthogonal frequency division multiplexing (OFDM) systems, a new estimation algorithm of the noise variance is proposed by only using the data samples of the two training symbols in the preamble, and the second order moment of these data samples is employed to estimate the signal power. The average SNR and the SNRs on the subchannels can all be estimated by the proposed algorithm, and its performance is independent of the channel’s frequency selectivity. Simulation results show that the performance of the proposed method is highly improved and much better than that of Boumard’s method.

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Authors and Affiliations

  1. State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an, 710071, China

    GuangLiang Ren, YiLin Chang & HuiNing Zhang

Authors
  1. GuangLiang Ren
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  2. YiLin Chang
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  3. HuiNing Zhang
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Corresponding author

Correspondence to GuangLiang Ren.

Additional information

Supported by the National Natural Science Foundation of China (Grant Nos. 60602063, 60532060 and 60772134), and the Natural Science Foundation of Shaanxi Province (Grant No. 2006F28)

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Ren, G., Chang, Y. & Zhang, H. SNR estimation algorithm based on the preamble for wireless OFDM systems. Sci. China Ser. F-Inf. Sci. 51, 965–974 (2008). https://doi.org/10.1007/s11432-008-0063-8

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  • DOI: https://doi.org/10.1007/s11432-008-0063-8

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