Advanced ESM Angle Tracker. Volume 1. Theoretical Foundations

Abstract

This report summarizes the NRL implementation of a filter used for ESM angle tracking. The filter is an Interactive Multiple Model (IMM) filter that uses three standard Kalman filters as a basis for filtering and predicting emitter bearing angle. Filter selection for the IMM is based on the expected variation of emitter trajectories and the imposed spherical coordinate system. The derivation of the IMM is well documented and is not addressed in this report; only implementation aspects of the IMM are addressed here. The ESM angle tracker was developed to operate with the NRL ESM-ATD, which provides highly accurate but intermittent bearing and elevation reports. ESM parameters are tracked with first-order filters and provide the basis for associating intermittent bearing/elevation tracks in dense scenarios. The tracker is fully automatic, uses sequential Bayesian hypothesis testing for track initiation, and uses maximum likelihood association implemented across all filters to maximize single-event association probabilities.

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Document Details

Document Type
Technical Report
Publication Date
Dec 29, 2006
Accession Number
ADA461280

Entities

People

  • Edward N. Khoury

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Computations
  • Coordinate Systems
  • Electronic Warfare
  • Equations
  • Estimators
  • Frequency
  • Hidden Markov Models
  • Kalman Filters
  • Markov Models
  • Military Research
  • Models
  • Probability
  • Probability Distributions
  • Software Development
  • Standards

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Sensor Fusion and Tracking Systems.

Technology Areas

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