Kalman Filtering Techniques Applied to Airborne Direction-Finding and Emitter Location

Abstract

The objective of this analytical study was to develop an optimal emitter location algorithm using Kalman filtering techniques to filter emitter bearing angles-of-arrival information in an airborne, multi-emitter environment. Since emitter and aircraft navigation data were sampled at discrete time intervals, discrete sequential estimation techniques were used within a software computer program which initially sorted data, filtered emitter bearing angles- of-arrival to obtain optimal estimates, and computed emitter positions in latitude/longitude coordinates using various emitter location algorithms. An error analysis was performed on the emitter location algorithms to determine relative accuracy of the different techniques. Extended Kalman filtering was also considered as an alternate approach to the emitter location algorithm.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1972
Accession Number
AD0745888

Entities

People

  • L. L. Coburn

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Angle Of Arrival
  • Computational Science
  • Computer Programs
  • Computers
  • Coordinate Systems
  • Data Analysis
  • Direction Finding
  • Electromagnetic Radiation
  • Equations
  • Geometry
  • Kalman Filtering
  • Kalman Filters
  • Mathematical Filters
  • Monte Carlo Method
  • United States Naval Academy

Fields of Study

  • Engineering

Readers

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