Approximation of Locally Optimum Detector Nonlinearities,

Abstract

The problem of finding a detector nonlinearity which maximizes the efficacy (or asymptotic processing gain) over a class of suboptimal nonlinearities is considered. it is shown that this efficacy maximization problem is essentially the same as the problem of finding the minimum mean square error approximation to the locally optimal detector nonlinearity. This result is compared to some intuitive ideas about suboptimal detection. (Author)

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1983
Accession Number
ADA129695

Entities

People

  • Kenneth S. Vastola
  • Steven V. Czarnecki

Organizations

  • Princeton University

Tags

DTIC Thesaurus Topics

  • Detection
  • Detectors
  • Information Processing
  • Information Science

Readers

  • Calculus or Mathematical Analysis
  • Radar Systems Engineering.
  • Systems Analysis and Design