Design Considerations for a Suboptimal Kalman Filter

Abstract

In designing a suboptimal Kalman filter, the designer must decide how to simplify the system error model without causing the filter estimation errors to increase to unacceptable levels. Delection of certain error states and decoupling of error state dynamics are the two principal model simplifications that are commonly used in suboptimal filter design. Fore the most part, the decisions as to which error states can be deleted or decoupled are based on the designer's understanding of the physics of the particular system.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1995
Accession Number
AD1001534

Entities

People

  • D. J. Difilippo

Tags

DTIC Thesaurus Topics

  • Decoupling
  • Dynamics
  • Filters
  • Kalman Filters
  • Physics

Fields of Study

  • Engineering

Readers

  • Inertial Navigation Systems.
  • Statistical inference.
  • Systems Analysis and Design