Parameter Estimation in a Constrained State Space,

Abstract

This paper examines the problems of state estimation for a moving acoustic source confined to a well-defined, simply-connected or multiply-connected region of state space. A multiple-parameter constrained estimator that provides enhanced performance and that permits determination of the most probable solution is presented. The estimator is a batch processor that yields both dynamic and residual classifiers, the behavior of which is shown to be dependent on source-observer geometry. The proposed realization is well-suited for solution selection through hypothesis testing. Experimental results showing estimator performance are presented and solution quality is discussed. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 28, 1984
Accession Number
ADA144035

Entities

People

  • A. A. Magliaro
  • K. F. Gong
  • S. C. Nardone

Organizations

  • Naval Underwater Systems Center

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acoustic Measurement
  • Algorithms
  • Convergence
  • Equations
  • Errors
  • Estimators
  • Gaussian Noise
  • Geometry
  • Line Of Sight
  • Measurement
  • Noise
  • Observers
  • Residuals
  • Rhode Island
  • Space Environments
  • Target Tracking
  • Targets

Readers

  • Approximation Theory.
  • Calculus or Mathematical Analysis
  • Fluid Dynamics.

Technology Areas

  • Space
  • Space - Space Objects