Multi-Stage Maximum Likelihood Target Estimator

Abstract

A multi-stage maximum likelihood target estimator for use with radar and sonar systems is provided. The estimator is a software implemented algorithm having four computational stages. The first stage provides angle smoothing for data endpoints thereby reducing angle errors associated with tie-down times. The second stage performs a coarse grid search to obtain the initial approximate target state to be used as a starting point for stages 3 and 4. The third stage is an endpoint Gauss-Newton type maximum likelihood target estimate which determines target range along two time lines. The final refinement of the target state is obtained by the fourth stage which is a Cartesian coordinate maximum likelihood target estimate. The four-stage processing allows the use of target historic data while reducing processing time and computation power requirement.

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Document Details

Document Type
Technical Report
Publication Date
Mar 31, 2006
Accession Number
ADD020250

Entities

People

  • Kurt Gent

Organizations

  • Naval Undersea Warfare Center

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Arrays
  • Attorneys
  • Bottom Bounce
  • Cartesian Coordinates
  • Computations
  • Covariance
  • Detectors
  • Equations
  • Estimators
  • Frequency Standards
  • Grids
  • Slant Range
  • Standards
  • Statistical Algorithms
  • Undersea Warfare
  • Warfare

Readers

  • Aerodynamics.
  • Operations Research
  • Statistical inference.