POSITION INFERENCE AND CONFIDENCE REGION DETERMINATION CORRESPONDING TO THREE OR FOUR SENSORS AS REFERENCE OBJECTS.

Abstract

The problem of detection of an object which emits acoustical impulses by a system of sensors is considered. The factors assumed to be known are the sensor positions, the variances associated with the sensor positions and equipment accuracy. The limitations of the accuracy of the known parameters are utilized to estimate the probability of occurrence of target in a volume or area configuration. The confidence regions are determined. A program for the four-sensor case is presented. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1967
Accession Number
AD0646248

Entities

People

  • Christopher Gregory
  • Joyce Tanaka Kurio

Organizations

  • University of HawaiĘ»i System

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Detection
  • Detectors
  • Machines
  • Mechanical Equipment
  • Probability

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Radar Systems Engineering.
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference