A Gaussian Sum Bayesian Approach to Passive Bearings Only Tracking.

Abstract

The purpose of this paper is to point out the difference in performance between a simple extended Kalman filter and an optimal Bayesian filter in pictorial form and to show reasons why extended Kalman filters do not perform satisfactorily. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1977
Accession Number
ADA047469

Entities

People

  • Daniel L. Alspach

Tags

Communities of Interest

  • Air Platforms
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Air Force
  • Bayesian Networks
  • Control Systems
  • Data Rate
  • Equations
  • Filters
  • Kalman Filters
  • Measurement
  • Monte Carlo Method
  • Nonlinear Systems
  • Observers
  • Probability
  • Random Variables
  • Random Walk
  • Scientific Research
  • Targets
  • Two Dimensional

Readers

  • Approximation Theory.
  • Computer Vision.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms