Application of Hidden Markov models to blind channel estimation and data detection in a GSM environment

@article{AntnHaro1996ApplicationOH,
  title={Application of Hidden Markov models to blind channel estimation and data detection in a GSM environment},
  author={Carles Ant{\'o}n-Haro and Jos{\'e} A. R. Fonollosa and Javier Rodr{\'i}guez Fonollosa},
  journal={1996 8th European Signal Processing Conference (EUSIPCO 1996)},
  year={1996},
  pages={1-4}
}
In this paper, we present an algorithm based on the Hidden Markov Models (HMM) theory to solve the problem of blind channel estimation and sequence detection in mobile digital communications. The environment in which the algorithm is tested is the Paneuropean Mobile Radio System, also known as GSM. In this system, a large part in each burst is devoted to allocate a training sequence used to obtain a channel estimate. The algorithm presented would not require this sequence, and that would imply… CONTINUE READING

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