Some Design Considerations on the Adaptive Quantizer Detector in Unknown Noise.

Abstract

The contents of this report provide some general guidelines and insights into the design of an adaptive signal detection system based on quantized data. In particular, we focus on the adaptation of the parameters in the quantizer in a way such that the detector's probability of making errors in the presence of noise of unknown statistics will be minimized with respect to those parameters. The unknown noise is assumed throughout this report to be an independent, additive noise with a symmetric (about zero) probability density function. Within this assumption an adaptive scheme is developed, and its performance and convergence are verified via simulation. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1980
Accession Number
ADA123990

Entities

People

  • Wing Hong Li

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Additives (Chemicals)
  • Air Force
  • Convergence
  • Detection
  • Detectors
  • Distribution Functions
  • Electrical Engineering
  • Gaussian Noise
  • Governments
  • Illinois
  • Noise
  • Probability
  • Probability Density Functions
  • Random Variables
  • Signal Detection
  • Simulations
  • Universities

Readers

  • Approximation Theory.
  • Radio communications and signal processing.
  • Regression Analysis.