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Terrain navigation using the correlator method
KTH, Superseded Departments, Signals, Sensors and Systems.
KTH, Superseded Departments, Signals, Sensors and Systems.ORCID iD: 0000-0002-6855-5868
2004 (English)In: PLANS 2004: POSITION LOCATION AND NAVIGATION SYMPOSIUM, NEW YORK: IEEE , 2004, 649-657 p.Conference paper, Published paper (Refereed)
Abstract [en]

In many vehicle applications such as, unmanned air vehicles (UAV), autonomous underwater vehicles (AUV), and submarine applications, there is a need to robustly and accurately determine the vehicle's position relative to a map in an effective way in terms of both cost and energy consumption. Such situations may occur in reconnaissance operations. This paper discusses terrain navigation using the correlation method, used in a recursive manner, for determining the vehicle position. The position is determined by sampling the terrain topography with a multibeam radar or sonar and then match the measured topography with a map. Using several measuring beams leads to a linear Kalman filter problem with nearly optimal performance. The proposed method is very accurate, robust, and computationally efficient compared to other methods used for terrain navigation.

Place, publisher, year, edition, pages
NEW YORK: IEEE , 2004. 649-657 p.
Keyword [en]
correlation, terrain navigation, Bayesian recursive filter, linear Kalman filter, maximum likelihood estimation
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-34984ISI: 000221540400089Scopus ID: 2-s2.0-2942661506ISBN: 0-7803-8416-4 (print)OAI: oai:DiVA.org:kth-34984DiVA: diva2:425330
Conference
IEEE Position Location and Navigation Symposium Monterey, CA, APR 26-29, 2004
Note
QC 20110621Available from: 2011-06-21 Created: 2011-06-17 Last updated: 2011-06-21Bibliographically approved

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Jansson, Magnus

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Citation style
  • apa
  • harvard1
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More styles
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  • de-DE
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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