Joint parameter estimation and symbol detection for linear or nonlinear unknown channels

@article{Kaleh1994JointPE,
  title={Joint parameter estimation and symbol detection for linear or nonlinear unknown channels},
  author={Ghassan Kawas Kaleh and Robert Vallet},
  journal={IEEE Trans. Communications},
  year={1994},
  volume={42},
  pages={2406-2413}
}
We present an iterative methos for joint channel parameter estimation and symbol setection via the Baum-Welch algorithm, or equivalently the Expectation-Maximization (EM) algorithm. Channel parameters, including noise variance, are estimated using a maximum likelihood criterion. The Markovian properties of the channel state sequence enable us to calcuate the required likelihood using a forward-backward algorithm. The calculated likelihood functions can easily give optimum decisions on… CONTINUE READING
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