Self Localization Using A Modulated Acoustic Chirp

Abstract

This paper describes a robust self localization algorithm implemented on a network of acoustic sensors. The sensors are severely constrained in both power and computational performance. An acoustic ranging technique employing a linear frequency modulated chirp is first used to estimate the range between a pair of nodes. The modulated acoustic chirp provides significant benefits in increased range and the ability to separate direct path and multi-path reflections. Localization was performed in the network using a simple trilateration technique based on the estimated ranges to four known beacons. The resulting algorithm is highly accurate under very difficult conditions including significant multi-path and high levels of background noise. The algorithm was implemented and deployed on prototype hardware and operated in real time under realistic operational conditions.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2007
Accession Number
AD1107042

Entities

People

  • Brian P. Flanagan

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Acoustic Detectors
  • Acoustics
  • Algorithms
  • Artificial Intelligence
  • Background Noise
  • Computer Science
  • Coordinate Systems
  • Delta Functions
  • Detection
  • Detectors
  • Echoes
  • Errors
  • Frequency
  • Frequency Domain
  • Information Processing
  • Measurement
  • Networks
  • Noise
  • Radar
  • Range Finding
  • Reflection
  • Sensor Networks

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Positioning, Navigation, and Timing (PNT) Technology.
  • Wave Propagation and Nonlinear Chaotic Dynamics.