The Variably Trimmed Mean CFAR Detector for Nonhomogeneous Background

Abstract

This thesis investigates the performance of various constant false alarm rate (CFAR) detectors in both stationary noise conditions and nonideal conditions caused by multiple targets and nonuniform clutter. In particular, we introduce a new scheme for CFAR detection and called the Variably Trimmed Mean (VTM) CFAR detector. We show that this detector is a CFAR detector in exponentially distributed as well as in more general clutter distributions. A closed form analytical expression for the false alarm probability in exponentially distributed homogeneous clutter is given. We also show that in the exponentially distributed clutter situation, this detector can be designed to yield performance characteristics that are better than those of the Order Statistic and Trimmed Mean CFAR detectors.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1990
Accession Number
ADA222801

Entities

People

  • Inci O. Tonguz
  • Saleem Kassam

Organizations

  • Moore School of Electrical Engineering

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Background Noise
  • Command And Control
  • Detection
  • Detectors
  • Electrical Engineering
  • Engineering
  • False Alarms
  • Information Processing
  • Information Science
  • Multiple Targets
  • Order Statistics
  • Probability
  • Random Variables
  • Statistics
  • Targets
  • Warning Systems

Fields of Study

  • Engineering

Readers

  • Aerodynamics/Aeronautics.
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Radar Systems Engineering.