Adaptive CFAR Performance Prediction in an Uncertain Environment

Abstract

LONG-TERM GOALS. The long-term goal of this task is to more accurately predict passive sonar detection performance when both the signal wavefront and noise field directionality are uncertain. OBJECTIVES. The objective is to bound the behavior of actual sonars by using the performance of optimal constant false alarm rate (CFAR) detection statistics, such as the adaptive matched subspace detector (AMSD), in the presence of realistic ocean environmental uncertainty and limited noise-field training data.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2003
Accession Number
ADA628893

Entities

People

  • Jeffrey Krolik

Organizations

  • Duke University

Tags

Communities of Interest

  • Air Platforms
  • Sensors

DTIC Thesaurus Topics

  • Agreements
  • Covariance
  • Data Sets
  • Detection
  • Detectors
  • Environment
  • False Alarms
  • Frequency
  • Monte Carlo Method
  • Noise
  • Passive Sonar
  • Sonar
  • Statistics
  • Training
  • Uncertainty
  • Warning Systems
  • Wavefronts

Readers

  • Acoustical Oceanography.
  • Radar Systems Engineering.