Signal Detection and Discrimination Based on Generalized Phase Principles.

Abstract

The role of the matched filter has been recognized and exploited for many years and has permeated numerous aspects of signal processing. Phase processing, on the other hand, has not received much general attention despite some of the attractive advantages it provides. This report extends the notions and generalizes the fundamental properties of signal detection based on phase principles. Several signal detection techniques which have heretofore appeared as separate schemes are related to the optimum theory of phase processing obtained from the likelihood ratio formulation. The concept of phase in sinusoidal waveforms is extended to apply to any waveform by interpreting the signal as an element of a linear vector space. A method of generalized phase processing, referred to as similarity detection, is investigated. This method is an approximation to the optimum theory becuase of quantization, which makes the detection procedure amenable to digital processing. By a preprocessing scheme, it is possible to reduce the effect of known interference signals on the detection of a known, desired signal. The similarity detector is extended to apply to the detection of a two-dimensional class of signals. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1970
Accession Number
AD0878345

Entities

People

  • F. F. Kretschmer Jr.

Organizations

  • Johns Hopkins University

Tags

DTIC Thesaurus Topics

  • Detection
  • Detectors
  • Discrimination
  • Filters
  • Matched Filters
  • Preprocessing
  • Signal Detection
  • Signal Processing
  • Two Dimensional
  • Vector Spaces
  • Waveforms

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Statistical inference.
  • Systems Analysis and Design

Technology Areas

  • Space
  • Space - Space Objects