Detection Performance of Normalizer for Multiple Signals Subject to Partially Correlated Fading with Chi-Squared Statistics.

Abstract

The false alarm and detection probabilities for a multi-pulse signal subject to partially correlated fading, in the presence of Gaussian noise of unknown level, are derived in closed form. The number K of signal pulses, as well as the number L of noise-only pulses used to estimate the noise-only pulses used to estimate the noise background power level, are arbitrary. The power-fading is characterized by chi-squared distribution with 2m degrees of freedom and a normalized set of covariance coefficients all of which can be selected arbitrarily, in order to match and experimental realization or an actual measured situation. The performance capability of this processor depends additionally on the received signal-to-noise ratio. This study is an extension of NUSC Technical Report 7707, to cover the case of a nonconstant threshold. Comparison of this normalizer with earlier results (for L = infinity) enable a quantitative evaluation of the losses incurred by lack of knowledge of the noise level. The important capability of constant false alarm rate is achieved by this normalizer.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1987
Accession Number
ADA188417

Entities

People

  • Albert H. Nuttall

Organizations

  • Naval Underwater Systems Center

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Coefficients
  • Computer Programs
  • Covariance
  • Data Science
  • Detection
  • Distribution Functions
  • False Alarms
  • Frequency
  • Noise
  • Oceanography
  • Power Levels
  • Probability
  • Probability Density Functions
  • Random Variables
  • Security
  • Signal Processing
  • Statistics

Fields of Study

  • Engineering

Readers

  • Calculus or Mathematical Analysis
  • Radar Systems Engineering.