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Carrier frequency offset estimation in uplink OFDMA systems: An approach relying on sparse recovery

Carrier frequency offset estimation in uplink OFDMA systems: An approach relying on sparse recovery
Carrier frequency offset estimation in uplink OFDMA systems: An approach relying on sparse recovery
This paper proposes a novel blind carrier frequency offset (CFO) estimator, namely the sparse recovery assisted CFO (SR-CFO) estimator, for the uplink orthogonal frequencydivision multiple access (OFDMA) systems. By exploiting the sparsity embedded in the OFDMA data, the CFO estimation is formulated as an optimization problem of sparse recovery with high-resolution. Meanwhile, in order to enhance the estimation accuracy of CFOs, background noise and sampling errors are mitigated by exploiting the structure of the noise covariances matrix in the transformed observation data, and the asymptotic distribution of the sampling errors. Furthermore, we propose an approach for deriving the regularization parameter used by the SR-CFO estimator, so as to control the trade-off between the data fitting error and the sparsity of solution. The performance of the proposed SR-CFO estimator along with other four existing estimators is investigated and compared. Numerical results show that the proposed SR-CFO estimator is superior to the state-of the-art estimators in terms of the estimation reliability.
0018-9545
9592-9597
Huang, Min
b8164ae4-2370-4d5a-82e6-a946b958cb45
Huang, Lei
d41482d3-b4c6-497f-880e-64eaa552827a
Guo, Chongtao
337c9929-ae5f-48c5-9cdb-73252dd9017c
Zhang, Peichang
ec887077-dc96-4b72-8caa-719a5a1a9ba8
Zhang, Jihong
93228cda-9eeb-407d-94af-24f81b3b4e47
Yang, Lieliang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Huang, Min
b8164ae4-2370-4d5a-82e6-a946b958cb45
Huang, Lei
d41482d3-b4c6-497f-880e-64eaa552827a
Guo, Chongtao
337c9929-ae5f-48c5-9cdb-73252dd9017c
Zhang, Peichang
ec887077-dc96-4b72-8caa-719a5a1a9ba8
Zhang, Jihong
93228cda-9eeb-407d-94af-24f81b3b4e47
Yang, Lieliang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7

Huang, Min, Huang, Lei, Guo, Chongtao, Zhang, Peichang, Zhang, Jihong and Yang, Lieliang (2017) Carrier frequency offset estimation in uplink OFDMA systems: An approach relying on sparse recovery. IEEE Transactions on Vehicular Technology, 66 (10), 9592-9597. (doi:10.1109/TVT.2017.2707671).

Record type: Article

Abstract

This paper proposes a novel blind carrier frequency offset (CFO) estimator, namely the sparse recovery assisted CFO (SR-CFO) estimator, for the uplink orthogonal frequencydivision multiple access (OFDMA) systems. By exploiting the sparsity embedded in the OFDMA data, the CFO estimation is formulated as an optimization problem of sparse recovery with high-resolution. Meanwhile, in order to enhance the estimation accuracy of CFOs, background noise and sampling errors are mitigated by exploiting the structure of the noise covariances matrix in the transformed observation data, and the asymptotic distribution of the sampling errors. Furthermore, we propose an approach for deriving the regularization parameter used by the SR-CFO estimator, so as to control the trade-off between the data fitting error and the sparsity of solution. The performance of the proposed SR-CFO estimator along with other four existing estimators is investigated and compared. Numerical results show that the proposed SR-CFO estimator is superior to the state-of the-art estimators in terms of the estimation reliability.

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VT-2017-00116 - Accepted Manuscript
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Accepted/In Press date: 21 May 2017
e-pub ahead of print date: 24 May 2017
Published date: 2017
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 410982
URI: http://eprints.soton.ac.uk/id/eprint/410982
ISSN: 0018-9545
PURE UUID: 59ffe729-5a9d-44ef-b512-26633cb2527c
ORCID for Lieliang Yang: ORCID iD orcid.org/0000-0002-2032-9327

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Date deposited: 12 Jun 2017 16:31
Last modified: 07 Oct 2020 01:42

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