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      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
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      Blind phase noise estimation in OFDM systems by sequential Monte Carlo method

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      Author
      Panayırcı, Erdal
      Çırpan, H. A.
      Moeneclaey, M.
      Noels, N.
      Date
      2006
      Source Title
      Proceedings of the 5th International Workshop on Multi-Carrier Spread-Spectrum, MC-SS 2005
      Publisher
      Springer
      Pages
      483 - 490
      Language
      English
      Type
      Conference Paper
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      Abstract
      In this paper, based on a sequential Monte Carlo method, a computationally efficient algorithm is presented for estimating the residual phase noise, blindly, generated at the output the phase tracking loop employed in OFDM systems. The basic idea is to treat the transmitted symbols as "missing data" and draw samples sequentially of them based on the observed signal samples up to time t. This way, the Bayesian estimates of the phase noise is obtained through these samples, sequentially drawn, together with their importance weights. The proposed receiver structure is seen to be ideally suited for high-speed parallel implementation using VLSI technology.
      Keywords
      Bayesian estimate
      Computationally efficient
      Importance weights
      Parallel implementations
      Phase tracking loops
      Receiver structure
      Residual phase noise
      Sequential Monte Carlo methods
      Bayesian networks
      Monte Carlo methods
      Orthogonal frequency division multiplexing
      Telecommunication systems
      Phase noise
      Permalink
      http://hdl.handle.net/11693/27162
      Published Version (Please cite this version)
      https://doi.org/10.1007/1-4020-4437-2_52
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      • Department of Electrical and Electronics Engineering 3621
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