Title
Multiple hypothesis clustering in radar plot extraction
Author
Huizing, A.G.
Theil, A.
van Dorp, Ph.
Ligthart, L.P.
TNO Fysisch en Elektronisch Laboratorium TNO
Publication year
1995
Abstract
False plots and plots with inaccurate range and Doppler estimates may severely degrade the performance of tracking algorithms in radar systems. This paper describes how a multiple hypothesis clustering technique can be applied to mitigate the problems involved in plot extraction. The measures of confidence for each hypothesis are based on fuzzy sets and possibility distributions of plot attributes such as the radial velocity and the radar cross section. Some results of radar experiments are shown.
Subject
Radar
Algorithms
Doppler effect
Fuzzy sets
Probability
Radar clutter
Radar cross section
Radar systems
Signal detection
Multiple hypothesis clustering
Radar plot extraction
Tracking radar
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TNO identifier
232925
Publisher
IEEE, Piscataway, NJ,
Source
Proceedings of the 1995 IEEE International Radar Conference, 8-11 May 1995, Alexandria, VA, USA, 95-102
Document type
conference paper