Advanced Guidance Algorithms for Homing Missiles with Bearings-Only Measurements.

Abstract

Homing missile guidance is formulated as an optimal stochastic control problem where the special nonlinear structure of the missile-target engagement is exploited. Since this stochastic control problem assumes a nested information pattern, the filter structure can be developed independently of the guidance scheme. However, the guidance scheme is dependent on and affects filter performance. Significant progress is being made on both the estimation problem and the guidance problem. Investigation of the nonlinear estimators especially tailored to the homing missile problem has produced not only a good deal of insight but responsive and mechanizable schemes. Although these schemes are applicable to active sensors, our emphasis has been on the more difficult passive sensor case where only angles are available. Recently-developed schemes based on coordinate transformations and on a assumed probability density function perform well, but the modified-gain extended Kalman filter has been used as the basis of a stochastic adaptive flight control scheme. Two important current efforts in missile guidance with bearings-only information are in development of the guidance schemes that enhance an information measure by trajectory modulation and in target acceleration detection.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1987
Accession Number
ADA190435

Entities

People

  • David G. Hull
  • Jason L. Speyer

Organizations

  • University of Texas at Austin

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Cyber
  • Materials and Manufacturing Processes
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Cartesian Coordinates
  • Closed Loop Systems
  • Computational Science
  • Control Systems
  • Control Systems Engineering
  • Coordinate Systems
  • Crystal Structure
  • Differential Equations
  • Flight Control Systems
  • Geometry
  • Kalman Filters
  • Mathematical Filters
  • Random Variables
  • Stochastic Processes
  • Two Dimensional

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Missile Defense Systems.