Signal detection in an impulsive noise environment using locally optimum detection

Arnab Roy, John F. Doherty

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

4 Scopus citations

Abstract

Locally optimum detection is a technique for reliable signal estimation in the presence of strong non-Gaussian interference. It is particularly suited to direct-spread spectrum systems due to the diversity gain achieved because of spreading. However, even more gains can possibly be derived by performing this operation in an iterative fashion, thereby allowing signal detection at even lower signal-to-interference ratios. In this paper the locally optimum detector used in an iterative scheme to suppress strong non-Gaussian interference is studied. The interference is modeled as Middleton class-A and the data stream is convolutionally encoded. Simulation results demonstrating performance improvement over a simple linear combiner are presented.

Original languageEnglish (US)
Title of host publication2007 IEEE 66th Vehicular Technology Conference, VTC 2007-Fall
Pages1022-1026
Number of pages5
DOIs
StatePublished - Dec 1 2007
Event2007 IEEE 66th Vehicular Technology Conference, VTC 2007-Fall - Baltimore, MD, United States
Duration: Sep 30 2007Oct 3 2007

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Other

Other2007 IEEE 66th Vehicular Technology Conference, VTC 2007-Fall
CountryUnited States
CityBaltimore, MD
Period9/30/0710/3/07

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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  • Cite this

    Roy, A., & Doherty, J. F. (2007). Signal detection in an impulsive noise environment using locally optimum detection. In 2007 IEEE 66th Vehicular Technology Conference, VTC 2007-Fall (pp. 1022-1026). [4349871] (IEEE Vehicular Technology Conference). https://doi.org/10.1109/VETECF.2007.222