A New Approach to Digital Signal Detection,

Abstract

The paper discusses the design and operation of a new digital signal detector that is characterized by the following operational features: (1) has low sensitivity to signal amplitude variations; (2) uses multiple signal bit measurements; (3) correlates these measurements in a network weighted to match operational conditions; and (4) determines the status of the detected signals by statistical methods. The new digital detector functions as a wave-form classifier; i.e., it samples sequential segments of the received signal waveform and encodes these data into binary digital words. These word groups are then applied to weighted networks that function as classifiers placing the sampled data into either the 'plus one' or 'minus one' categories. A detailed description of each of these functions is presented. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1972
Accession Number
AD0750335

Entities

People

  • William A. Huber

Organizations

  • United States Army Communications-Electronics Command

Tags

DTIC Thesaurus Topics

  • Amplitude
  • Detection
  • Detectors
  • Machine Learning
  • Measurement
  • Sensitivity
  • Signal Detection
  • Warning Systems
  • Waveforms
  • Waves

Readers

  • Approximation Theory.
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Neural Network Machine Learning.