Extending the Intercept Range of Tactical Missiles Against Jamming Targets.

Abstract

The main emphasis of this report is on the application of nonlinear filtering techniques to state estimation of radiating targets in range-denied systems. The mathematical model for the measurements and the target dynamics is derived, with emphasis on the development of a simplified model for the correlated errors introduced by the inertial reference unit. The nonlinear estimators considered (triangulation, extended Kalman filter, and Gaussian second-order filter) are evaluated using linearized covariance and Monte Carlo methods. Large initial errors often resulted in poor performance for the extended Kalman filter, while the Gaussian second-order filter provides acceptable performance.

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1975
Accession Number
ADA011828

Entities

People

  • D. J. Yost
  • J. E. Kain

Organizations

  • Johns Hopkins University Applied Physics Laboratory

Tags

DTIC Thesaurus Topics

  • Data Science
  • Estimators
  • Filters
  • Filtration
  • Information Science
  • Kalman Filters
  • Mathematical Analysis
  • Mathematical Filters
  • Mathematical Models
  • Models
  • Monte Carlo Method
  • Optimal Estimators
  • Statistical Algorithms
  • Statistical Analysis

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Radar Systems Engineering.