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Particle Filtering for Track Before Detect Applications
Linköping University, Department of Electrical Engineering.
Linköping University, Department of Electrical Engineering.
2005 (English)Independent thesis Advanced level (degree of Magister), 20 points / 30 hpStudent thesis
Abstract [en]

Integrated tracking and detection, based on unthresholded measurements, also referred to as track before detect (TBD) is a hard nonlinear and non-Gaussian dynamical estimation and detection problem. However, it is a technique that enables the user to track and detect targets that would be extremely hard to track and detect, if possible at all with ''classical'' methods. TBD enables us to be better able to detect and track weak, stealthy or dim targets in noise and clutter and particles filter have shown to be very useful in the implementation of TBD algorithms.

This Master's thesis has investigated the use of particle filters on radar measurements, in a TBD approach.

The work has been divided into two major problems, a time efficient implementation and new functional features, as estimating the radar cross section (RCS) and the extension of the target. The later is of great importance when the resolution of the radar is such, that specific features of the target can be distinguished. Results will be illustrated by means of realistic examples.

Place, publisher, year, edition, pages
Institutionen för systemteknik , 2005. , 67 p.
Keyword [en]
Particle Filter, Target Tracking, Track Before Detect, TBD, Bayesian Estimation, Monte Carlo Methods, Nonlinear Filtering.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-4046ISRN: LiTH-ISY-EX--05/3683--SEOAI: oai:DiVA.org:liu-4046DiVA: diva2:20509
Uppsok
teknik
Supervisors
Examiners
Available from: 2005-09-23 Created: 2005-09-23

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Signal Processing

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf