ALGORITHMS FOR SENSOR FUSION, Decentralized Bayesian Hypothesis Testing with Feedback. Volume 1

Abstract

Classical signal detection involved centralized signal processing. A single sensor was employed for making observations which were processed centrally. The need for increased reliability and survivability of communication systems has led to the deployment of multiple sensors for signal detection. Various types of sensors are utilized to observe the environment. The collected data is sent to a central processor where classical hypothesis testing procedures are employed for signal processing.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1991
Accession Number
ADA254633

Entities

People

  • Pramod Varshney
  • Samawal Al-hakeem

Organizations

  • Kaman Corporation

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Bayesian Networks
  • Birds
  • Communication Systems
  • Data Transmission
  • Detection
  • Detectors
  • False Alarms
  • Network Topology
  • Probability
  • Probability Density Functions
  • Probability Distributions
  • Random Variables
  • Signal Detection
  • Signal Processing
  • Topology
  • Warning Systems

Fields of Study

  • Engineering

Readers

  • Neural Network Machine Learning.
  • Radio communications and signal processing.
  • Systems Analysis and Design

Technology Areas

  • AI & ML