An Adaptive Detection Algorithm

Abstract

A general problem of signal detection in a background of unknown Gaussian noise is addressed, using the techniques of statistical hypothesis testing. Signal presence is sought in one data vector, and another independent set of signal-free data vectors is available which share the unknown covariance matrix of the noise in the vector. A likelihood ratio decision rule is derived and its performance evaluated in both the noise-only and signal-plus-noise cases.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1986
Accession Number
ADA174799

Entities

People

  • Edward J. Kelly

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Covariance
  • Data Science
  • Detection
  • Detectors
  • False Alarms
  • Gaussian Noise
  • Information Science
  • Matched Filters
  • Probability
  • Radar
  • Random Variables
  • Signal Detection
  • Square Roots
  • Statistics
  • Warning Systems

Fields of Study

  • Engineering

Readers

  • Statistical inference.