Acoustic Change Detection Using Sources of Opportunity

Abstract

There is interest in developing low-cost, low-power non-line-of-sight sensors for monitoring human activity. This report describes an algorithm that can detect a physical change in a building such as a door opening or closing. The algorithm is based on cross-correlating the acoustic signal measured from two microphones. Detection occurs when a statistically significant change in normalized cross-correlation is measured at different times. The algorithm was tested with an experiment that used a simple, inexpensive, hand-held FM radio as a sound source, two microphones, and a data acquisition system. The algorithm successfully detected a change in the environment when a door was opened or closed.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2011
Accession Number
ADA552879

Entities

People

  • Geoffrey H. Goldman
  • Owen R. Wolfe

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Acoustic Surveillance
  • Acoustics
  • Algorithms
  • Change Detection
  • Communication Equipment
  • Cross Correlation
  • Data Science
  • Data Sets
  • Detection
  • Detectors
  • Environment
  • Fast Fourier Transforms
  • Frequency
  • Frequency Domain
  • Information Science
  • Microphones
  • Statistics

Fields of Study

  • Physics

Readers

  • Acoustics.
  • Mathematics or Statistics
  • Sensor Fusion and Tracking Systems.