Adaptive Bayesian and EM-based detectors for frequency-selective fading channels

@article{Nissil2003AdaptiveBA,
  title={Adaptive Bayesian and EM-based detectors for frequency-selective fading channels},
  author={Mauri Nissil{\"a} and Subbarayan Pasupathy},
  journal={IEEE Trans. Communications},
  year={2003},
  volume={51},
  pages={1325-1336}
}
In this paper, the problem of adaptive maximum a posteriori (MAP) symbol detection for the uncoded transmission as well as the problem of adaptive soft-input soft-output (SISO) demodulation for the coded transmission of data symbols over the time-varying frequency-selective channel are explored within the framework of the expectation-maximization (EM) algorithm. In particular, several recursive forms of the classical Baum-Welch (BW) algorithm and its Bayesian counterpart (often referred to a… CONTINUE READING
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  • S. Haykin, Adaptive
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