Simple Detection-Performance Analysis of Multistatic Sonar for Anti-Submarine Warfare

Abstract

This report describes a method of deriving the detection performance of a multistatic sonar field from the performance of a field of similar sonars operated monostatically. It allows a direct comparison of the two modes of operation, thereby quantifying the advantage, if any, of multistatics. The method is derived from the sonar equation in the noise-limited regime. We also compare two different network architectures for tracking: each receiver performing its own tracking or detection information being passed to a central tracking node. We start with three schematic monostatic detection-probability curves, ranging from almost a cookie cutter to an exponential shape, which has a long low-probability tail. We find that networking, whether to perform multistatics or to centralise tracking, brings no advantage for a cookie-cutter detection probability. With the exponential shape, on the other hand, a multistatic field can be spaced at about twice the separation for the same detection performance as a field of similar sonars operated monostatically. That is, a given area can be covered with about one quarter the number of sensors. Centralising the tracking allows about an additional third increase in sonar separation.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2011
Accession Number
ADA550097

Entities

People

  • M. P. Fewell
  • S. Ozols

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acoustic Waves
  • Active Sonar
  • Antisubmarine Warfare
  • Computer Science
  • Computing System Architectures
  • Data Fusion
  • Detection
  • Detectors
  • Equations
  • Far Field
  • Frequency
  • Geometry
  • Multistatic Detection
  • Multistatic Sonar
  • Network Architecture
  • Submarine Warfare
  • Warfare

Readers

  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Radar Systems Engineering.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • Space
  • Space - Space Objects