Smoothing PLLs for QAM dynamical phase estimation

  • Authors:
  • J. Yang;B. Geller;C. Herzet;J. M. Brossier

  • Affiliations:
  • SATIE, ENS Cachan,;ENSTA ParisTech;IRISA, INRIA Rennes;GIPSA, Grenoble INP

  • Venue:
  • ICC'09 Proceedings of the 2009 IEEE international conference on Communications
  • Year:
  • 2009

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Abstract

This paper presents a near-optimum, low-complexity, fixed-interval smoothing algorithm that approaches the performance of an optimal smoother for the price of two low-complexity sequential estimators (two PLLs). The proposed Smoothing PLL (S-PLL) algorithm is easy to implement and fits the Cramer-Rao bounds over a wide range of signal-to-noise ratios. Moreover we show that, compared to the conventional forward loop, the proposed scheme allows to have a large gain of several dBs and is able to track frequency offsets.