Nonlinear Estimation Framework for Optimized Target Tracking, Estimation, and Self assessment

Abstract

The research focused on advancing the theory of multi-dimensional non-linear, non-Gaussian state estimation methods with special attention on monitoring and ensuring credibility (also called consistency) of the estimates produced by the estimation algorithm. Estimate consistency is important in safety-critical applications and is often required by the user. For the purpose of monitoring consistency of estimates produced by the current estimation algorithms, two methods were designed: the cooperative filter design combining estimates from two filters to provide the consistency information and the entropy-based consistency monitoring designed especially forthe stochastic integration filter to provide the consistency information.

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Document Details

Document Type
Technical Report
Publication Date
Jun 05, 2020
Accession Number
AD1106331

Entities

People

  • OndÅ™ej Straka

Organizations

  • University of West Bohemia

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Artificial Satellites
  • Department Of Defense
  • Earth Orbits
  • Elliptical Orbits
  • Global Navigation Satellite Systems
  • Kalman Filters
  • Low Earth Orbits
  • Mathematical Filters
  • Navigation
  • Navigation Satellites
  • Sequential Monte Carlo Methods
  • Signal Processing
  • Space Objects
  • Standards
  • Statistical Analysis
  • Target Tracking

Readers

  • Approximation Theory.
  • Computational Modeling and Simulation
  • Distributed Systems and Data Platform Development