Real Time Sequential Detection for Diffusion Signals

Abstract

We analyze sequential detection for diffusion type signals both in the fixed probability of error formulation and in the Bayes Formulation. We show that the optimal strategy in both cases is of the threshold type with explicitly computable thresholds. We provide efficient numerical schemes for computing approximations to the likelihood ratio and provide an implementation via a special purpose VLSI processor for real time processing in the scalar diffusion case. Finally, we describe the DELPHI expert system which is under development. Its purpose is to provide an integrated system level design tool for sequential real time detection and estimation.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1986
Accession Number
ADA444289

Entities

People

  • Anthony Lavigna
  • John Baras

Organizations

  • University of Maryland

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Detection
  • Diffusion
  • Electrical Engineering
  • Engineering
  • Expert Systems
  • Information Operations
  • Integrated Systems
  • Universities

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Organizational Process Management (OPM).