Adaptive spatio-temporal CFAR and multiple-hypothesis tracking system

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dc.contributor.author Hughes, Evan J.
dc.contributor.author Lewis, M.
dc.date.accessioned 2009-03-12T16:36:30Z
dc.date.available 2009-03-12T16:36:30Z
dc.date.issued 2009-03-12T16:36:30Z
dc.identifier.uri http://hdl.handle.net/1826/3264
dc.description 3rd EMRS DTC Technical Conference – Edinburgh 2006 en_UK
dc.description.abstract This paper describes a self organising spatio-temporal radar CFAR system that uses multiple intelligent software agents to detect and adapt the processing to features in the environment. By combining both temporal and spatial data gathering sufficient samples can be collected to allow both the first and second order moments of the clutter distribution to be approximated for each cell. By gathering higher order statistics to a useful accuracy, more stable thresholds may be produced. en_UK
dc.language.iso en en_UK
dc.title Adaptive spatio-temporal CFAR and multiple-hypothesis tracking system en_UK
dc.type Conference paper en_UK


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