Adaptive Detection of a Known Signal in Non-Gaussian Noise,

Abstract

The design of a locally optimal detector for a known signal in non-Gaussian noise is discussed. The optimal detector non-linearity is approximated adaptively in the noise pdf tail region, and a polynomial is used to approximate the non-linearity near the mean. Examples for several different noise environments are presented, showing in these cases that the adaptive detector is able to achieve a high level of performance.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1982
Accession Number
ADA129658

Entities

People

  • John B. Thomas
  • Steven V. Czarnecki

Organizations

  • Princeton University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Ambient Noise
  • Blood Coagulation Factors
  • Computer Science
  • Detection
  • Detectors
  • Electrical Engineering
  • Engineering
  • Environment
  • Gaussian Noise
  • Linearity
  • Military Research
  • Noise
  • Observation
  • Polynomials
  • Probability
  • Random Variables
  • Simulations

Fields of Study

  • Engineering

Readers

  • Radar Systems Engineering.
  • Statistical inference.