Application of Smoothing Techniques for Tracking Maneuvering Targets. Multiple Target Tracking in Clutter: New Approaches

Abstract

The project was concerned with development of fast algorithms for clustering and data association and then applying fixed-lag smoothers for tracking maneuvering and non-maneuvering multitargets in clutter. The data association was done by a depth-first search (DFS) technique which extends naturally to three dimensional validation matrices which occur in Markov models of system parameters for maneuvering targets and also in multiscan correlation. A faster algorithm is then suggested for computing approximately the a posteriori probabilities without generating the data association hypotheses. This algorithm is suitable for implementation with multiprocessors in mobile airborne or seaborne distributed tracking facilities, while the DFS-based approach is suitable for ground-based trackers. Simulation studies have been conducted to demonstrate the advantages of the algorithms developed in this project over comparable ones existing in the literature.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1992
Accession Number
ADA254609

Entities

People

  • N. K. Bose

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Angle Of Arrival
  • Computational Complexity
  • Computational Science
  • Computer Simulations
  • Data Association
  • Data Processing
  • Detectors
  • Electrical Engineering
  • Image Processing
  • Mathematical Models
  • Multitarget Tracking
  • Neural Networks
  • Signal Processing
  • Target Tracking
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Engineering

Readers

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