Citation
Long Le, Douglas L. Jones. "Optimal Simultaneous Detection and Signal and Noise Power Estimation". International Symposium on Information Theory, IEEE, 29, June, 2014.

Abstract
Simultaneous detection and estimation is important in many engineering applications. In particular, there are many applications where it is important to perform signal detection and Signal-to-Noise-Ratio (SNR) estimation jointly. Application of existing frameworks in the literature that handle simultaneous detection and estimation is not straightforward for this class of application. This paper therefore aims at bridging the gap between an existing framework, specifically the work by Middleton et al., and the mentioned application class by presenting a jointly optimal detector and signal and noise power estimators. The detector and estimators are given for the Gaussian observation model with appropriate conjugate priors on the signal and noise power. Simulation results affirm the superior performance of the optimal solution compared to the separate detection and estimation approaches.

Electronic downloads

• https://www.src.org/library/publication/p070312/. (Link to paper on SRC website.)
• http://dx.doi.org/10.1109/ISIT.2014.6874897

• HTML

  Long Le, Douglas L. Jones. <a
  href="http://www.terraswarm.org/pubs/316.html"
  >Optimal Simultaneous Detection and Signal and Noise
  Power Estimation</a>, International Symposium on 
  Information Theory, IEEE, 29, June, 2014.

• Plain text

  Long Le, Douglas L. Jones. "Optimal Simultaneous
  Detection and Signal and Noise Power Estimation".
  International Symposium on  Information Theory, IEEE, 29,
  June, 2014.

• BibTeX

  @inproceedings{LeJones14_OptimalSimultaneousDetectionSignalNoisePowerEstimation,
      author = {Long Le and Douglas L. Jones},
      title = {Optimal Simultaneous Detection and Signal and
                Noise Power Estimation},
      booktitle = {International Symposium on  Information Theory},
      organization = {IEEE},
      day = {29},
      month = {June},
      year = {2014},
      abstract = {Simultaneous detection and estimation is important
                in many engineering applications. In particular,
                there are many applications where it is important
                to perform signal detection and
                Signal-to-Noise-Ratio (SNR) estimation jointly.
                Application of existing frameworks in the
                literature that handle simultaneous detection and
                estimation is not straightforward for this class
                of application. This paper therefore aims at
                bridging the gap between an existing framework,
                specifically the work by Middleton et al., and the
                mentioned application class by presenting a
                jointly optimal detector and signal and noise
                power estimators. The detector and estimators are
                given for the Gaussian observation model with
                appropriate conjugate priors on the signal and
                noise power. Simulation results affirm the
                superior performance of the optimal solution
                compared to the separate detection and estimation
                approaches.},
      URL = {http://terraswarm.org/pubs/316.html}
  }
  

Posted by Barb Hoversten on 20 May 2014.
Groups: services