Reduction of Sea Surveillance Data Using Binary Matrices.

Abstract

A new approach is described for assembling feasible ship trajectories from ship position sightings. The ship may or may not be identified on a particular sighting. The proposed algorithm does not attempt to resolve sighting-trajectory assignment ambiguities. No a priori ship motion model is used except for a bound on the maximum speed. The feasible relative ship motion and identity information are encoded into binary matrices. These binary matrices are computed recursively using logical AND and OR operations. The algorithm is analogous to the Kalman filter. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 04, 1975
Accession Number
ADA022598

Entities

People

  • Patrick L. Smith

Organizations

  • The Aerospace Corporation

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Ambiguity
  • Estimators
  • Filters
  • Identities
  • Kalman Filters
  • Mathematics
  • Ship Motion
  • Surveillance
  • Trajectories

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Programming and Software Development.
  • Marine Hydrodynamics