Performance Analysis for Hybrid State Estimation Problems.

Abstract

Hybrid state estimation problems are statistical estimation problems in which both continuous-valued and discrete-valued states and parameters occur. The hybrid state model provides both a natural formulation for many types of surveillance and tracking problems and a powerful framework for deriving theoretically optimal and practical suboptimal tracking algorithms. This report describes research in developing tools for evaluating the performance of optimal hybrid state estimation problems.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1985
Accession Number
ADA162225

Entities

People

  • D. Teneketzia
  • R. B. Washburn
  • T. G. Allen

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Computational Complexity
  • Computational Science
  • Data Science
  • Detection
  • Detectors
  • Equations Of State
  • Estimators
  • Information Science
  • Kalman Filters
  • Mathematical Filters
  • Monte Carlo Method
  • Probability Distributions
  • Random Variables
  • Statistical Algorithms
  • Statistical Estimation
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Mathematical Modeling and Probability Theory.
  • Operations Research
  • Statistical inference.