Optimal simultaneous detection and signal and noise power estimation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2014 IEEE International Symposium on Information Theory, ISIT 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages571-575
Number of pages5
ISBN (Print)9781479951864
DOIs
StatePublished - Jan 1 2014
Event2014 IEEE International Symposium on Information Theory, ISIT 2014 - Honolulu, HI, United States
Duration: Jun 29 2014Jul 4 2014

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
ISSN (Print)2157-8095

Other

Other2014 IEEE International Symposium on Information Theory, ISIT 2014
CountryUnited States
CityHonolulu, HI
Period6/29/147/4/14

Fingerprint

Detector
Estimator
Conjugate prior
Signal Detection
Detectors
Engineering Application
Signal detection
Optimal Solution
Signal to noise ratio
Simulation
Framework
Class
Model
Observation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Information Systems
  • Modeling and Simulation
  • Applied Mathematics

Cite this

Le, L., & Jones, D. L. (2014). Optimal simultaneous detection and signal and noise power estimation. In 2014 IEEE International Symposium on Information Theory, ISIT 2014 (pp. 571-575). [6874897] (IEEE International Symposium on Information Theory - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIT.2014.6874897

Optimal simultaneous detection and signal and noise power estimation. / Le, Long; Jones, Douglas L.

2014 IEEE International Symposium on Information Theory, ISIT 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 571-575 6874897 (IEEE International Symposium on Information Theory - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Le, L & Jones, DL 2014, Optimal simultaneous detection and signal and noise power estimation. in 2014 IEEE International Symposium on Information Theory, ISIT 2014., 6874897, IEEE International Symposium on Information Theory - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 571-575, 2014 IEEE International Symposium on Information Theory, ISIT 2014, Honolulu, HI, United States, 6/29/14. https://doi.org/10.1109/ISIT.2014.6874897
Le L, Jones DL. Optimal simultaneous detection and signal and noise power estimation. In 2014 IEEE International Symposium on Information Theory, ISIT 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 571-575. 6874897. (IEEE International Symposium on Information Theory - Proceedings). https://doi.org/10.1109/ISIT.2014.6874897
Le, Long ; Jones, Douglas L. / Optimal simultaneous detection and signal and noise power estimation. 2014 IEEE International Symposium on Information Theory, ISIT 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 571-575 (IEEE International Symposium on Information Theory - Proceedings).
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