Robust Fusion of Multiple Microphone and Geophone Arrays in a Ground Sensor Network

Abstract

A sensor network with arrays of microphones and geophones has been deployed along a track in the country. Together with a beam forming technique, the sensor arrays produce bearing estimates to passing vehicles. The bearing estimates are sent to, and fused by, a Kalman tracking filter. We report how we implemented this system with low-complexity distributed-type hardware and software components, and also indicate the level of performance to be expected using a small number of intelligent network nodes. We also study a large data base with acoustic recordings collected in realistic environments with the purpose to classify vehicles traversing the network. Support vector machine classifiers, taking as input spectral features picked up from the emitted audio, are fused in time and space to identify the vehicle model.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2006
Accession Number
ADA478760

Entities

People

  • A. Lauberts
  • D. Lindgren
  • H. Habberstad
  • M.-L. Holmberg

Organizations

  • Swedish Defence Research Agency

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Computer Networks
  • Data Fusion
  • Databases
  • Detectors
  • Doppler Effect
  • Estimators
  • Information Science
  • Machine Learning
  • Mesh Networks
  • Network Protocols
  • Networks
  • Pattern Recognition
  • Sensor Networks
  • Supervised Machine Learning
  • Wave Propagation
  • Wireless Sensor Networks

Readers

  • Neural Network Machine Learning.
  • Seismology
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Space