Time-varying carrier offset tracking in OFDM systems using particle filtering

@article{Nyblom2004TimevaryingCO,
  title={Time-varying carrier offset tracking in OFDM systems using particle filtering},
  author={T. Nyblom and Timo Roman and Mihai Enescu and Visa Koivunen},
  journal={Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology, 2004.},
  year={2004},
  pages={217-220}
}
In this paper we address the problem of time varying carrier frequency offset (CFO) estimation for mobile OFDM systems. The offset is modeled using a nonlinear state space model. The estimation and tracking is based on a sequential Monte Carlo method called particle filter. Particle filtering is an attractive method because it suits well for nonlinear state-space models and works reliably even if the a posteriori distribution of the state is skewed, multimodal or heavy-tailed. Significant… CONTINUE READING
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IEEE Workshop on Signal Processing Advances in Wireless Communications, • 2003

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