Optimal Sensor Placement in Active Multistatic Sonar Networks

Abstract

Recently the idea of deploying non-collocated sources and receivers in multistatic sensor networks (MSNs) has emerged as a promising area of opportunity in sonar systems. This thesis addresses point coverage sensing problems in MSNs, where a number of points of interest have to be monitored in order to protect them from hostile underwater assets. We consider discrete cookie cutter sensors as well as various diffuse sensor models. By showing that the convex hull spanned by the targets is guaranteed to contain optimal sensor positions, we are able to limit the solution space. Using a cookie cutter sensor model, we are able to exclude even more suboptimal solutions by determining range-of-the-day, source and receiver circles. To address the nonconvex single-source placement problem, we develop the Divide Best Sector (DiBS) algorithm, which quickly provides an optimal source position assuming fixed receivers. Starting with a basic implementation of DiBS, we show how incorporating advanced sector splitting methods and termination conditions further improve the algorithm. We also discuss two ways to use DiBS to find multiple source positions by placing sensors iteratively or simultaneously. Finally, we conclude that DiBS is a fast and simple algorithm that supports a wide variety of sensor models, various termination conditions, and objective functions.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2014
Accession Number
ADA607823

Entities

People

  • Tobias U. Kuhn

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Antisubmarine Warfare
  • Applied Mathematics
  • Detection
  • Detectors
  • Echo Ranging
  • Geometry
  • Information Processing
  • Linear Programming
  • Mathematics
  • Multistatic Sonar
  • Operations Research
  • Sensor Networks
  • Simplex Method
  • Sonar
  • Spreadsheet Software
  • Submarine Warfare

Readers

  • Acoustical Oceanography.
  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Systems Analysis and Design

Technology Areas

  • Space
  • Space - Space Objects