Detection Performance of a Modified Generalized Likelihood Ratio Processor for Random Signals of Unknown Location

Abstract

A search region of N bins in time, frequency space contains either noise only, or noise plus a signal which occupies a subset of M bins of unknown location. The unknown signal strengths are estimated by means of a maximum likelihood procedure modified by a breakpoint xo, in order to suppress the weaker estimates. The stronger signal estimates are then used to implement a modified form of generalized likelihood ratio processor. The highly nonlinear character of this generalized likelihood ratio processor debilitates against an exact analysis of its performance. To circumvent this difficulty, all the nonlinear components are replaced by piecewise-linear devices which best match the given characteristics according to minimum mean square error. The false alarm and detection probabilities of this piecewise-linear processor are then derived exactly. These analytic results enable ready determination of threshold settings and receiver operating characteristics for a variety of values of N, M, xo, and the signal-to-noise ratio.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 23, 1993
Accession Number
ADA273999

Entities

People

  • Albert H. Nuttall

Organizations

  • Naval Undersea Warfare Center

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Asymptotic Series
  • Detection
  • Detectors
  • Distribution Functions
  • False Alarms
  • Military Research
  • Plastic Explosives
  • Power Levels
  • Probability
  • Probability Density Functions
  • Random Variables
  • Research Facilities
  • Security
  • Statistics
  • Undersea Warfare
  • Warfare
  • Warning Systems

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Radar Systems Engineering.
  • Statistical inference.

Technology Areas

  • Space
  • Space - Space Objects