Decision fusion using channels with communication constraints

Chao Tang Yu, Pramod K. Varshney

Research output: Contribution to journalConference article

2 Scopus citations

Abstract

A decentralized detection system usually contains a number of remotely located local sensors that observe a common phenomenon and a data fusion center that makes a final decision. The local sensors are linked to the data fusion center by transmission channels. In this paper, some aspects of decision fusion problems with communication constraints are considered. Two interesting issues, namely, bandwidth allocation among the channels linking local sensors to the fusion center, and the trade-off between the number of sensors and the number of likelihood-ratio quantization levels at local sensors, are studied. Examples are presented for illustration.

Original languageEnglish (US)
Pages (from-to)94-105
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3067
DOIs
StatePublished - Dec 1 1997
EventSensor Fusion: Architectures, Algorithms, and Applications - Orlando, FL, United States
Duration: Apr 24 1997Apr 24 1997

Keywords

  • Bandwidth allocation
  • Data fusion
  • Distributed detection
  • Quantization
  • Sampling

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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