Using negative information to improve performance of forward scatter arrays
Widdis, Daniel B.
Washburn, Alan R.
MetadataShow full item record
Many tracking algorithms, such as implementations or Kalman filters, use only target positioning data as input. They ignore negative information from sensors that do not detect the target. Recent improvements in computing performance allow the development of tracking algorithms that can fuse information from many sources, including negative information, into the target motion analysis. This thesis evaluates th significance of negative information in a discrete tracking algorithm applied to a tracking scenario in which an array of forward scatter tripwire sensors covers the search area. Additionally, this thesis explores the effect of selected arrangements of an array of tripwire sensors and performance parameters on tracking capability. Using negative information significantly improves tracking performance, especially in a cost-effective arrangement of tripwires where several lines of position are coincident.
Showing items related by title, author, creator and subject.
Lee, Han Chuan. (Monterey, California. Naval Postgraduate School, 2009-12);The previously developed guidance law implemented onboard the Small Unmanned Aerial Vehicle (SUAV) relies exclusively on the information from the image processing software and allows the performance of coordinated SUAV ...
Da Cunha, Marcilio Boavista (Naval Postgraduate School, 1976);The problem of tracking submarine targets with passive sonobuoys is mathematically modelled. A comprehensive study is made of all the information available in the acoustic signals picked up by the sonobuoys and of the ...
Jaros, Joseph (Monterey, California. Naval Postgraduate School, 1984-03);An error ellipse plotting routine was developed to provide real-time indication of Kalman filter performance. The study included an evaluation of the Hewlett-Packard HP-86 computer system's capability for providing ...