A Signaling Problem Arising in Decentralized Detection.

Abstract

An unknown object, called H, moves across two detectors, called D sub 1 and D sub 2, which take noisy measurements of the object. Based on these measurements D sub 1 and D sub 2 must collectively decide which of the two possible values, 0 or 1, H actually takes. H first travels across the field of view of D sub 1 which starts taking measurements at time 0. At some time tau sub 1 which must occur before an a priori fixed time T, D sub 1 must summarize its information into a single bit u sub 1 is an element of (0,1) and instantaneously and accurately transmit it to D sub 2. Upon receiving U sub 1 is an element of (0,1), D sub 2 starts taking its own observation. At some subsequent time tau sub 2 > or = tau sub 1, D sub 2 declares that H is u sub 2. The detectors must select their decision rules to minimize a cost due to their observations and the terminal cost associated with D sub 2's decision U sub 2. The problem faced by each detector is separately analyzed. Detector D sub 2's problem is a standard optimal stopping problem, whereas detector D sub 1's problem is related to the optimal real-time encoding of Markov processes. It is shown that the detectors' optimal decision rules are characterized by thresholds.

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1988
Accession Number
ADA193755

Entities

People

  • Demosthenis Teneketzis

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Coding
  • Detection
  • Detectors
  • Markov Processes
  • Measurement
  • Observation
  • Standards
  • Terminals
  • Warning Systems

Readers

  • Image Processing and Computer Vision.
  • Mathematical Modeling and Probability Theory.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.