Distributed Bayesian compressive sensing based blind carrier-frequency offset estimation for interleaved OFDMA uplink

Peng Cheng; Zhuo Chen; Y. Jay Guo; Lin Gui

doi:10.1109/PIMRC.2013.6666246

Distributed Bayesian compressive sensing based blind carrier-frequency offset estimation for interleaved OFDMA uplink

Peng Cheng, Zhuo Chen, Y. Jay Guo, Lin Gui

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

4 Citations (Scopus)

Abstract

Carrier-frequency offset (CFO) estimation for orthogonal frequency-division multiplexing access (OFDMA) systems operating in multiuser uplink transmission is very challenging due to the presence of a multiple-parameter estimation problem. In this paper, we propose a novel blind CFO estimation method for interleaved OFDMA uplink based on distributed Bayesian compressive sensing (DBCS) theory. Considering the received signal structure, the new method first constructs a measurement matrix associated with a sparse signal matrix weight, which sets up the stage for the application of CS theory in tackling the original estimation problem. Then, the DBCS theory that exploits a common sparse profile of the sparse signal matrix weight is employed to distributively estimate a sparse hyperparameter vector, whose significant peaks are linked to the correct estimation of the multiple CFOs. Compared with the existing subspace theory based methods, the proposed scheme offers a significant enhancement in estimation accuracy, in specific in the low signal-to-noise ratio (SNR) region. The numerical results validate the effectiveness of the proposed scheme.

Original language	English
Title of host publication	2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	801-806
Number of pages	6
ISBN (Print)	9781467362351
DOIs	https://doi.org/10.1109/PIMRC.2013.6666246
Publication status	Published - 2013
Externally published	Yes
Event	2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013 - London, United Kingdom Duration: 8 Sept 2013 → 11 Sept 2013

Other

Other	2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013
Country/Territory	United Kingdom
City	London
Period	8/09/13 → 11/09/13

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10.1109/PIMRC.2013.6666246

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Cheng, P., Chen, Z., Guo, Y. J., & Gui, L. (2013). Distributed Bayesian compressive sensing based blind carrier-frequency offset estimation for interleaved OFDMA uplink. In 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC) (pp. 801-806). Article 6666246 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/PIMRC.2013.6666246

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title = "Distributed Bayesian compressive sensing based blind carrier-frequency offset estimation for interleaved OFDMA uplink",

abstract = "Carrier-frequency offset (CFO) estimation for orthogonal frequency-division multiplexing access (OFDMA) systems operating in multiuser uplink transmission is very challenging due to the presence of a multiple-parameter estimation problem. In this paper, we propose a novel blind CFO estimation method for interleaved OFDMA uplink based on distributed Bayesian compressive sensing (DBCS) theory. Considering the received signal structure, the new method first constructs a measurement matrix associated with a sparse signal matrix weight, which sets up the stage for the application of CS theory in tackling the original estimation problem. Then, the DBCS theory that exploits a common sparse profile of the sparse signal matrix weight is employed to distributively estimate a sparse hyperparameter vector, whose significant peaks are linked to the correct estimation of the multiple CFOs. Compared with the existing subspace theory based methods, the proposed scheme offers a significant enhancement in estimation accuracy, in specific in the low signal-to-noise ratio (SNR) region. The numerical results validate the effectiveness of the proposed scheme.",

author = "Peng Cheng and Zhuo Chen and Guo, {Y. Jay} and Lin Gui",

year = "2013",

doi = "10.1109/PIMRC.2013.6666246",

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publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

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Cheng, P, Chen, Z, Guo, YJ & Gui, L 2013, Distributed Bayesian compressive sensing based blind carrier-frequency offset estimation for interleaved OFDMA uplink. in 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)., 6666246, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 801-806, 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013, London, United Kingdom, 8/09/13. https://doi.org/10.1109/PIMRC.2013.6666246

Distributed Bayesian compressive sensing based blind carrier-frequency offset estimation for interleaved OFDMA uplink. / Cheng, Peng; Chen, Zhuo; Guo, Y. Jay et al.
2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2013. p. 801-806 6666246.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AU - Guo, Y. Jay

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N2 - Carrier-frequency offset (CFO) estimation for orthogonal frequency-division multiplexing access (OFDMA) systems operating in multiuser uplink transmission is very challenging due to the presence of a multiple-parameter estimation problem. In this paper, we propose a novel blind CFO estimation method for interleaved OFDMA uplink based on distributed Bayesian compressive sensing (DBCS) theory. Considering the received signal structure, the new method first constructs a measurement matrix associated with a sparse signal matrix weight, which sets up the stage for the application of CS theory in tackling the original estimation problem. Then, the DBCS theory that exploits a common sparse profile of the sparse signal matrix weight is employed to distributively estimate a sparse hyperparameter vector, whose significant peaks are linked to the correct estimation of the multiple CFOs. Compared with the existing subspace theory based methods, the proposed scheme offers a significant enhancement in estimation accuracy, in specific in the low signal-to-noise ratio (SNR) region. The numerical results validate the effectiveness of the proposed scheme.

AB - Carrier-frequency offset (CFO) estimation for orthogonal frequency-division multiplexing access (OFDMA) systems operating in multiuser uplink transmission is very challenging due to the presence of a multiple-parameter estimation problem. In this paper, we propose a novel blind CFO estimation method for interleaved OFDMA uplink based on distributed Bayesian compressive sensing (DBCS) theory. Considering the received signal structure, the new method first constructs a measurement matrix associated with a sparse signal matrix weight, which sets up the stage for the application of CS theory in tackling the original estimation problem. Then, the DBCS theory that exploits a common sparse profile of the sparse signal matrix weight is employed to distributively estimate a sparse hyperparameter vector, whose significant peaks are linked to the correct estimation of the multiple CFOs. Compared with the existing subspace theory based methods, the proposed scheme offers a significant enhancement in estimation accuracy, in specific in the low signal-to-noise ratio (SNR) region. The numerical results validate the effectiveness of the proposed scheme.

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Cheng P, Chen Z, Guo YJ, Gui L. Distributed Bayesian compressive sensing based blind carrier-frequency offset estimation for interleaved OFDMA uplink. In 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). 2013. p. 801-806. 6666246 doi: 10.1109/PIMRC.2013.6666246

Distributed Bayesian compressive sensing based blind carrier-frequency offset estimation for interleaved OFDMA uplink

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