Post-Flight Trajectory Reconstruction of a Maneuvering Reentry Vehicle from Radar Measurements

Abstract

A technique for determining the aerodynamic parameters of a maneuvering reentry vehicle (MaRV) from post-flight analysis of radar tracking data was developed. The technique uses a sequential weighted least squares estimator which steps through the data processing batches of data sequentially. The observations consisted of angle and range measurements from a precision tracking radar located in the vicinity of the impact area. A six dimension estimator consisting of three position and three velocity components was designed for estimating the state of the RV during free flight. Two reentry estimators were developed. One, a seven dimension estimator consisting of the six elements of the free-flight estimator plus the ballistic coefficient, was designed to estimate the state during ballistic reentry. The second is the nine element MaRV estimator used once a maneuver is begun. An algorithm based on measurement residual monitoring was developed to switch adaptively from the six- state estimator to the seven-state estimator and then to the nine-state estimator. A series of numerical simulations was performed to validate the technique and its programming. Monte Carlo simulations were used to verify the accuracy of the estimator covariance matrix.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1982
Accession Number
ADA124805

Entities

People

  • Larry Neale Lillard

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Coordinate Systems
  • Differential Equations
  • Earth Models
  • Equations
  • Equations Of Motion
  • Estimators
  • Free Flight
  • Geometry
  • Kalman Filters
  • Mach Number
  • Mathematical Filters
  • Measurement
  • World Geodetic System

Readers

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