Alternatives to Optimal Detection.

Abstract

In this report, signal detection in non-Gaussian noise is considered. This work can be divided roughly into two parts. The essential purpose of the first part is to investigate the existence and design of some sub-optimal detectors which are modifications of the sample mean detector. The method used here is based on orthogonal series expansions in terms of the Gaussian distribution and the moments of the noise distribution. The second part is concerned with signal detection in bounded noise. Both the known signal case and the unknown signal case are studied. An algorithm of a sequential nature is devised.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1982
Accession Number
ADA123454

Entities

People

  • John B. Thomas
  • S. C. Schwartz
  • Yih-fang Huang

Organizations

  • Princeton University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Distribution Functions
  • Electrical Engineering
  • Gaussian Distributions
  • Information Science
  • Military Research
  • Plastic Explosives
  • Probability
  • Probability Density Functions
  • Probability Distributions
  • Random Variables
  • Sequences
  • Signal Detection
  • Signal Processing
  • Statistics
  • Stochastic Processes
  • Test And Evaluation

Fields of Study

  • Engineering

Readers

  • Statistical inference.