Application of a Maximum Likelihood Parameter Estimator to an Advanced Missile Guidance and Control System.

Abstract

The problem of parameter estimation using tracking information is examined. Two models are developed and used to estimate the misalignment angles of the inertial system of a missile after its launch. The estimation is based on maximum likelihood concepts. The amount of information extracted from the tracking measurements and the missile specific forces measurements is analysed. A feasibility study of the two models is conducted. The second model uses the aerodynamic model of the missile in order to enhance its estimation ability. Doing this, it incorporates more non-linearities than the first model. These severe non-linearities were found to offset the advantage it had in terms of information gathering. The first model is much simpler in its concept. Yet, it is still able to gather the information needed and its performance is very comparable to the one of the second model. The simplicity and linearity of the first model make it especially attractive. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1977
Accession Number
ADA055188

Entities

People

  • Rony Dayan

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • C4I
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Airframes
  • Command And Control
  • Computational Science
  • Computer Simulations
  • Computers
  • Control Systems
  • Inertial Navigation
  • Inertial Navigation Systems
  • Kalman Filters
  • Mathematical Filters
  • Mathematical Models
  • Measurement
  • Navigation
  • Pulsed Inductive Thrusters
  • Stabilized Platforms

Readers

  • Inertial Navigation Systems.
  • Regression Analysis.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy