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Blind Maximum Likelihood Carrier Frequency Offset Estimation for OFDM With Multi-Antenna Receiver | IEEE Journals & Magazine | IEEE Xplore

Blind Maximum Likelihood Carrier Frequency Offset Estimation for OFDM With Multi-Antenna Receiver


Abstract:

In this paper, based on the maximum likelihood (ML) criterion, we propose a blind carrier frequency offset (CFO) estimation method for orthogonal frequency division multi...Show More

Abstract:

In this paper, based on the maximum likelihood (ML) criterion, we propose a blind carrier frequency offset (CFO) estimation method for orthogonal frequency division multiplexing (OFDM) with multi-antenna receiver. We find that the blind ML solution in this situation is quite different from the case of single antenna receiver. As compared to the conventional MUSIC-like CFO searching algorithm, our proposed method not only has the advantage of being applicable to fully loaded systems, but also can achieve much better performance in the presence of null subcarriers. It is demonstrated that the proposed method also outperforms several existing estimators designed for multi-antenna receivers. The theoretical performance analysis and numerical results are provided, both of which demonstrate that the proposed method can achieve the Cramér-Rao bound (CRB) under the high signal-to-noise ratio (SNR) region.
Published in: IEEE Transactions on Signal Processing ( Volume: 61, Issue: 9, May 2013)
Page(s): 2295 - 2307
Date of Publication: 06 February 2013

ISSN Information:


I. Introduction

As a promising candidate for the next-generation wireless communications, orthogonal frequency division multiplexing (OFDM) has drawn substantial research interests during the past few years [1]. However, it is well known that OFDM suffers from the weakness of being sensitive to carrier frequency offset (CFO) that is generated by the frequency mismatch between the transceiver oscillators or Doppler effect [2].

References

References is not available for this document.