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

  title={Joint parameter estimation and symbol detection for linear or nonlinear unknown channels},
  author={Ghassan Kawas Kaleh and Robert Vallet},
  journal={IEEE Trans. Communications},
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
Highly Influential
This paper has highly influenced 18 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 254 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.
Showing 1-10 of 158 extracted citations

255 Citations

Citations per Year
Semantic Scholar estimates that this publication has 255 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-6 of 6 references


  • Feb.
  • L. Rabiner, S. E. Levinson, and M. M. Sondhi, “On…
  • 1989

A maximization technique occuring in the statistical analysis of probabilistic functions of Markov chains

  • T. Petrie Baum, G. Soules, N. Weiss
  • Ann . Math . Stat .
  • 1970


  • Oct.
  • P. Dempster, N. M. Laird, and D. B. Rubin…
  • 1966

He received the “diplome de DEA

  • Robert Vallet
  • Orsay, in 1980, and the Doctorate degree from the…
  • 1949

Similar Papers

Loading similar papers…