Computational Methods for Probabilistic Target Tracking Problems

Abstract

The grant started in 2003. Initially a cohort of two graduate students and four sophomore undergraduate students was recruited. The students received special training in probabilistic and statistical methods pertaining to target -tracking problems. Particular topics included Kalman filtering, the EM Algorithm, smoothing methods, and density estimation. In the summer of 2004 the graduate students accompanied Dr. Warrack to The Naval Undersea Warfare Center, Newport, RI (NUWC-Newport), for a 10 week internship working under the supervision of Dr Roy Streit. This resulted in a presentation at NUWC, Applying Density Estimation and Nonparametric Smoothing Techniques to Tracking Problems. In the summer of 2005 the undergraduates accompanied Dr. Warrack to NUWC-Newport for a 10 week internship under the direction of Dr. Marcus Graham. A presentation Using Parametric and Nonparametric Smoothing Techniques to Improve Estimation with the EM Algorithm was given at NUWC. All six of the students have graduated with high grade point averages. Three received NAVSEA job offers, one of whom is working at NSWCDD-Dahlgren, VA. During an extension year two graduate students and two undergraduates were supported.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2007
Accession Number
ADA472589

Entities

People

  • Alexandra Kurepa
  • Anthony G. Warrack

Organizations

  • North Carolina Agricultural and Technical State University

Tags

Communities of Interest

  • Biomedical
  • Ground and Sea Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computational Science
  • Computer Programs
  • Data Science
  • Information Science
  • Kalman Filtering
  • Kalman Filters
  • Mathematical Filters
  • Mathematics
  • Monte Carlo Method
  • Multitarget Tracking
  • Statistical Algorithms
  • Statistical Analysis
  • Statistics
  • Students
  • Target Tracking
  • Undersea Warfare

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Military History
  • STEM Education