A Case Study in Adaptive Sound Speed Estimation,

Abstract

This paper deals with the problem of sound speed estimation as an aid in improving our knowledge of the position of a drifiting sonobuoy. This is accomplished by processing the outputs of a spatially displaced set of hydrophone sensors in an extended Kalman filter. The filter's state vector may be augmented to provide estimates of the sonobuoy's position, velocity, and the sound speed from the sonobuoy to each of the hydrophones. It is shown that with just time-of-arrival difference and doppler difference measurements, system observability is marginal - directly resulting in biased estimates of the sonobuoy's location. With the additional use of bearing measurements, it is then shown how this enhances system observability and consequently, estimation performance. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1978
Accession Number
ADA086605

Entities

People

  • D. L. Alspach
  • R. N. Lobbia

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Case Studies
  • Computers
  • Dead Reckoning
  • Equations
  • Filters
  • Hydrophones
  • Iterations
  • Kalman Filters
  • Latitude
  • Longitude
  • Measurement
  • Sonobuoys
  • Standards
  • Systems Science
  • White Noise

Readers

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