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Pham, Thinh H.; Fahmy, Suhaib A.; McLoughlin, Ian V. (2016)
Publisher: IEEE
Languages: English
Types: Article
Subjects: TK, QA76
In orthogonal frequency-division multiplexing (OFDM) systems, integer frequency offset (IFO) causes a circular shift of the sub-carrier indices in the frequency domain. IFO can be mitigated through strict RF front-end design, which tends to be expensive, or by strictly limiting mobility and channel agility, which constrains operating scenarios. IFO is therefore often estimated and removed at baseband, allowing implementations to benefit from relaxed RF front-end specifications and be tolerant to both Doppler shift and multi-standard channel selection. This paper proposes a novel architecture for IFO estimation which achieves reduced power consumption and lower computational cost than contemporary methods, while achieving excellent estimation performance, close to theoretically achievable bounds. A pilot subsampling technique enables four-fold resource sharing to reduce computational cost, while multiplierless computation yields further power reduction. Performance exceeds that of conventional techniques, while being much more efficient. When implemented on FPGA for IEEE 802.16-2009, dynamic power reductions of 78% are achieved. The architecture and method is applicable to other OFDM standards including IEEE 802.11 and 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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