Accession Number:

ADA024329

Title:

Recursive Filtering Algorithms for Ship Tracking

Descriptive Note:

Interim rept.

Corporate Author:

NAVAL RESEARCH LAB WASHINGTON DC

Personal Author(s):

Report Date:

1976-04-06

Pagination or Media Count:

51.0

Abstract:

Some recursive filtering algorithms were developed for tracking ships when observations are sporadic and imprecise. Tracking with position-only observations was emphasized, but a procedure was also developed for utilizing possible independent observations of ship velocity. Two basic algorithms are considered a Kalman filter with adaptive driving noise for generating estimates and containment ellipses for current and future ship positions, and a corresponding Bayesian smoother for generating estimates of past positions. The driving noise was treated as a velocity term in a continuous-time model of ships motion. The details of these two algorithms were developed for tracking on a plane, on a sphere in geographical coordinates, and on a sphere in three-dimensional rectilinear coordinates. A FORTRAN implementation and some corresponding numerical results were developed for the planar case.

Subject Categories:

  • Computer Programming and Software
  • Cybernetics
  • Military Intelligence

Distribution Statement:

APPROVED FOR PUBLIC RELEASE