An Application of Nonlinear Filtering Theory to Passive Target Locaton and Tracking.

Abstract

The technique of Extended Kalman filtering is applied to a passive single sensor location and tracking problem. Signal angle of arrival and doppler shifted frequency are used as observations for two different filter formulations: one for fixed X-Y coordinates of position and velocity and one with an orthogonal system rotated to align an axis with the target heading. The fixed X-Y system was found to give better tracking performance on the Monte Carlo simulation. A new method of calculating the initial covariance matrix was extended to reformulate the Kalman filter equations for a nonlinear problem. (Modified author abstract)

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1974
Accession Number
AD0782305

Entities

People

  • George William Mitschang

Organizations

  • Naval Postgraduate School

Tags

DTIC Thesaurus Topics

  • Angle Of Arrival
  • Data Science
  • Filters
  • Filtration
  • Information Science
  • Kalman Filtering
  • Kalman Filters
  • Mathematical Analysis
  • Mathematical Filters
  • Monte Carlo Method
  • Simulations
  • Statistical Algorithms
  • Statistical Analysis

Fields of Study

  • Engineering

Readers

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