Algorithms for the Fusion of Two Sets of (Sonar) Data

Abstract

In this report we study different methods to combine sonar contacts as observed by two sonars. The sonar contacts are given realistic position errors, which makes their association non-trivial. First, for a single pair of contacts the most-likely position of the true underlying target position is derived. Based on this, the probability that two observed contacts originate from a single object is calculated. Based on these theoretical derivations, different association methods are evaluated using simulations, in which both targets-of-interest and false alarms are inserted. It is concluded that an `OR'-fusion of the two sets of sonar contacts gives a much better performance than an `AND'-fusion; the latter induces severe losses. The results are insensitive to the number of targets inserted, to the exact magnitude of the position errors, and to the amplitude distribution of the targets-of-interest.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2006
Accession Number
ADA470758

Entities

People

  • C. A. Van Moll
  • P. A. De Theije

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Amplitude
  • Data Fusion
  • Data Sets
  • Detection
  • Detectors
  • False Alarms
  • Multiplication Factor
  • Normal Distribution
  • Probability
  • Probability Density Functions
  • Random Variables
  • Simulations
  • Statistics
  • Target Detection
  • Two Dimensional
  • Warning Systems

Readers

  • Electrical Engineering
  • Neural Network Machine Learning.
  • Radar Systems Engineering.