Optimized Flight Path for Localization Using Line of Bearing

Abstract

This research develops optimized flight paths for localization of a target using LOB measurements. The target area is expressed as an error ellipse using the measurement errors of the LOBs. The optimization approach is focused on minimizing the size of the error ellipse. The algorithm for the optimized path is generated and compared with typical flight paths. The optimization routine is based on the results revised from previous similar research in the literature. A geometrical method to estimate the error ellipse is combined with optimal control in this research. Each LOB gives a possible target area and this target area can be reduced by overlapping areas developed from multiple LOBs. The algorithm based on this method is tested with a single target and with multiple targets in simulation. In addition to analytical simulations of the proposed method, a real-world test is conducted using a remotely controlled truck. From the simulation and a real-world test, the change of the semi-major axis of the error ellipse with increasing number of measurements and the total number of measurements needed for to achieved predefined semi-major axis are verified.

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Document Details

Document Type
Technical Report
Publication Date
Mar 26, 2015
Accession Number
ADA616273

Entities

People

  • Namkyu Kim

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Collision Avoidance
  • Control Systems
  • Coordinate Systems
  • Department Of Defense
  • Direction Finders
  • Direction Finding
  • Governments
  • Motion Planning
  • Navigation
  • Three Dimensional
  • United States
  • United States Government
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Warfare

Readers

  • Approximation Theory.
  • Computational Modeling and Simulation
  • Radar Systems Engineering.

Technology Areas

  • Space
  • Space - Spacecraft Maneuvers