Paradigm for distributed detection under communication constraints

Chao Tang Yu, Pramod K. Varshney

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


We present a flexible hybrid decision scheme for decentralized detection under communication constraints. In this scheme, local sensors send a binary (hard) decision to the fusion center when the local sensors have a relatively high confidence in the decision, otherwise a perfect version of the local likelihood ratio (LLR) is sent. In practice, a finely quantized version of the LLR is sent. The degree of confidence at which this switch is made is determined by the specified communication constraint. The fusion center makes a final decision based on the information received from local sensors. By employing the person-by-person optimization methodology, we develop the local decision rules and the fusion rule. Owing to the associated computational difficulty, we propose a simpler procedure based on the class of Ali-Silvey distance measures to obtain the local decision rules. A numerical example is also presented for illustration.

Original languageEnglish (US)
Pages (from-to)417-426
Number of pages10
JournalOptical Engineering
Issue number2
StatePublished - Feb 1998


  • Data fusion
  • Decision fusion
  • Distributed detection
  • Distributed sensor networks
  • Sensor fusion
  • Signal detection

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • General Engineering


Dive into the research topics of 'Paradigm for distributed detection under communication constraints'. Together they form a unique fingerprint.

Cite this