Pham, Thinh Hung, Fahmy, Suhaib A, McLoughlin, Ian Vince (2016) Efficient Integer Frequency Offset Estimation Architecture for Enhanced OFDM Synchronization. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 24 (4). pp. 1412-1420. ISSN 1063-8210. (doi:10.1109/TVLSI.2015.2453207) (KAR id:55022)
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Official URL: http://dx.doi.org/10.1109/TVLSI.2015.2453207 |
Abstract
An integer frequency offset (IFO), in orthogonal
frequency-division multiplexing (OFDM) systems, causes a circular
shift of the sub-carrier indices in the frequency domain.IFO
can be mitigated through strict RF front-end design but this
is challenging and expensive. Therefore, IFO is estimated and
removed at baseband, allowing the RF front-end specification
to be relaxed, thus reducing system cost. For applications
susceptible to Doppler shift, and multi-standard radios requiring
wide frequency range access, careful RF design may be
insufficient without IFO estimation. This paper proposes a novel
approach for IFO estimation with reduced power consumption
and computational cost. A four-fold resource sharing architecture
reduces computational cost, while a multiplierless technique and
carefully optimised wordlengths yield further power reduction
while maintaining a good accuracy. The novel method is shown
to achieve excellent performance, similar to the theoretically
achievable bound. In fact, performance is significantly better
than conventional techniques, while being much more efficient.
When implemented for IEEE 802.16-2009, the proposed method
saves 78% power over the conventional technique on low-power
FPGA devices. The method is applicable to IEEE 802.11 and
IEEE 802.22.
Item Type: | Article |
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DOI/Identification number: | 10.1109/TVLSI.2015.2453207 |
Uncontrolled keywords: | OFDM; digital signal processing; field programmable gate arrays; |
Subjects: | T Technology |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Ian McLoughlin |
Date Deposited: | 19 Apr 2016 10:02 UTC |
Last Modified: | 05 Nov 2024 10:43 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/55022 (The current URI for this page, for reference purposes) |
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