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Pham, Thinh H.; Fahmy, Suhaib A.; McLoughlin, Ian V. (2016)
Publisher: IEEE
Languages: English
Types: Article
Subjects: T, TK, QA76
An integer frequency offset (IFO), in orthogonal\ud frequency-division multiplexing (OFDM) systems, causes a circular\ud shift of the sub-carrier indices in the frequency domain.IFO\ud can be mitigated through strict RF front-end design but this\ud is challenging and expensive. Therefore, IFO is estimated and\ud removed at baseband, allowing the RF front-end specification\ud to be relaxed, thus reducing system cost. For applications\ud susceptible to Doppler shift, and multi-standard radios requiring\ud wide frequency range access, careful RF design may be\ud insufficient without IFO estimation. This paper proposes a novel\ud approach for IFO estimation with reduced power consumption\ud and computational cost. A four-fold resource sharing architecture\ud reduces computational cost, while a multiplierless technique and\ud carefully optimised wordlengths yield further power reduction\ud while maintaining a good accuracy. The novel method is shown\ud to achieve excellent performance, similar to the theoretically\ud achievable bound. In fact, performance is significantly better\ud than conventional techniques, while being much more efficient.\ud When implemented for IEEE 802.16-2009, the proposed method\ud saves 78% power over the conventional technique on low-power\ud FPGA devices. The method is applicable to IEEE 802.11 and\ud IEEE 802.22.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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    • [25] UG389: Spartan-6 FPGA DSP48A1 Slice, Xilinx Inc., August 2009. Suhaib A. Fahmy (M'01, SM'13) received the M.Eng. degree in information systems engineering and the Ph.D. degree in electrical and electronic engineering from Imperial College London, UK, in 2003 and 2007, respectively. From 2007 to 2009, he was a Research Fellow at Trinity College Dublin, and a Visiting Research Engineer with Xilinx Research Labs, Dublin. Since 2009, he has been an Assistant Professor with the School of Computer Engineering at Nanyang Technological University, Singapore. His research interests include reconfigurable computing, high-level system design, and computational acceleration of complex algorithms. Dr. Fahmy was a recipient of the Best Paper Award at the IEEE Conference on Field Programmable Technology in 2012, the IBM Faculty Award in 2013, and is also a senior member of the ACM.
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