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Frequency estimators for MIMO-OFDM systems

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Abstract

Orthogonal frequency division multiplexing (OFDM) systems are known to be sensitive to carrier frequency offset (CFO). This paper is concerned with the CFO estimation for multiple input multiple output (MIMO) systems employing OFDM waveforms. We present two approaches to derive maximum likelihood (ML) pilot-assisted frequency estimators that use either two or multiple identical training symbols. It is shown that the resulting ML frequency estimators are similar to maximum ratio combining versions of Moose estimator and Yu–Su solution, respectively. Numerical examples demonstrate that the proposed frequency estimators are robust against spatial Signal-to-noise ratio (SNR) variation and they yield performance superior to that of the corresponding single-antenna system.

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Authors and Affiliations

  1. Afa Technologies, 233-1 Baociao Rd., Sindian, 23145, Taiwan

    David C.-H. Chiang

  2. Department of Communications Engineering, National Chiao Tung University, Hsinchu, 30056, Taiwan

    Yu T. Su

Authors
  1. David C.-H. Chiang
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  2. Yu T. Su
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Corresponding author

Correspondence to David C.-H. Chiang.

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Chiang, D.CH., Su, Y.T. Frequency estimators for MIMO-OFDM systems. Wireless Pers Commun 43, 1201–1207 (2007). https://doi.org/10.1007/s11277-007-9295-y

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  • DOI: https://doi.org/10.1007/s11277-007-9295-y

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