A Multiunit Relative Localization and Tracking Algorithm for OTH Targeting.

Abstract

A Kalman filter tracking algorithm, called MURLOC, is described and favorably evaluated against a batch-processed least-squares algorithm. MURLOC is applicable to locating and tracking multiple units in OTH targeting scenarios. The algorithms uses a multiunit state vector, transforms measurements before filtering, determines a pseudo range to use with bearing-only measurements, and adapts the model noise covariance to the measurement residuals so that a maneuvering target can be tracked. MURLOC can filter x-and-y, range-and-bearing, bearing-only, and course-and-speed measurements. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1979
Accession Number
ADA068386

Entities

People

  • Jeffrey R. Olmstead
  • Lola C. Goheen

Organizations

  • SRI International

Tags

Communities of Interest

  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Cartesian Coordinates
  • Computations
  • Computer Programs
  • Computers
  • Coordinate Systems
  • Detectors
  • Filters
  • Filtration
  • Kalman Filters
  • Least Squares Method
  • Military Research
  • Naval Warfare
  • Navy
  • New York
  • United States
  • United States Government

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Radar Systems Engineering.