Operating Characteristics for Maximum Likelihood Detection of Signals in Gaussian Noise of Unknown Level. III. Random Signals of Unknown Level,

Abstract

The detection and false alarm probabilities for maximum likelihood detection of two classes of random signals in stationary Gaussian noise, where the signal and noise levels are unknown, are derived. The two classes are Gaussian signals and deterministic signals of unknown phase with slow fading on each of M potential-signal branches. For the Gaussian signals and the deterministic signals with independent Rayleigh envelope fading on each of the M branches, the performances are identical, and extensive numerical results are presented. For more general signal fading, the detection probability is presented as a finite sum of hypergeometric functions that can be easily evaluated with computer aid; however, no numerical results are given for this more general situation. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jul 31, 1974
Accession Number
AD0786729

Entities

People

  • Albert H. Nuttall
  • Peter G. Cable

Organizations

  • Naval Underwater Systems Center

Tags

DTIC Thesaurus Topics

  • Computers
  • Detection
  • Detectors
  • False Alarms
  • Gaussian Noise
  • Hypergeometric Functions
  • Mathematics
  • Noise
  • Probability
  • Stationary
  • Warning Systems

Fields of Study

  • Engineering

Readers

  • Radio communications and signal processing.
  • Statistical inference.