Shallow-Water Sensor Placement

Abstract

Placing acoustic sensors allows for remote detection of vessels in areas of interest. We study the problem of placing only a few sensors to effectively monitor signals at many locations. Though our approach applies to sensor placement problems generally, we focus on placing hydrophones to efficiently monitor acoustic signals over a large region. Our starting point is the mutual information criterion for sensor placement, which despite being theoretically attractive has not been widely adopted because of its computational difficulty. To remedy these computational challenges, we introduce a novel branch and bound algorithm that relies upon a new semidefinite programming relaxation of the mutual information problem. Our contributions allow practitioners to solve sensor placement problems to global optimality while exploring only a fraction of the solution space required by brute force. Our work has been made open source at https://github.com/rbassett3/mutual_info_sensor_placement.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2022
Accession Number
AD1201791

Entities

People

  • Erik V. Vargas

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Acoustic Detection
  • Acoustic Detectors
  • Acoustic Propagation
  • Acoustic Signals
  • Acoustics
  • Algorithms
  • California
  • Coast Guard
  • Detection
  • Detectors
  • Measurement
  • Naval Operations
  • Network Science
  • Operations Research
  • Ray Tracing
  • Remote Sensing
  • Security
  • Shallow Water
  • Shallow Water Sensors
  • United States

Readers

  • Operations Research
  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design

Technology Areas

  • Space
  • Space - Space Objects