An Efficient Direct-Sequence Signal Detector Based on Dempster-Shafer Theory

Jung Jae Chao*, Chung Chieh Lee

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

The detection of direct-sequence spread-spectrum signals is studied. We consider the environment of broadband noise jamming with the assumption that jammer state information is unknown. We show how Dempster-Shafer theory can be applied to this problem; in particular, we treat the unknown jammer state information as uncertainty and use the concept of “confidence discount” and the Dempster’s combining rule to derive a heuristic detector for the problem. We show that the resulting detector has a better performance than the hard-decision detector and the soft-decision detector when the jammer is significant. The degradation relative to the soft-decision detector is smaller than the hard-decision detector when the jammer is low.

Original languageEnglish (US)
Pages (from-to)868-874
Number of pages7
JournalIEEE Transactions on Communications
Volume38
Issue number6
DOIs
StatePublished - Jan 1 1990

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications

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