Multiple hypothesis clustering in radar plot extraction
Albert G. Huizing, A. Theil, Ph. van Dorp, L.P. Ligthart · TNO Repository · 1995
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.