Analysis of the FKIE Passive Radar Data Set with GMPHD and GMCPHD
Kolja Pikora, Frank Ehlers · International Conference on Information Fusion · 2013
In this paper we analyze the FKIE Passive Radar Data Set with probability hypothesis density (PHD) and cardinalized probability hypothesis density (CPHD) filters in Gaussian mixture approaches (GMPHD and GMCPHD). The general structure of both filters adopts multitarget Bayes recursion and estimates multitarget states as well as the number of targets in the field of view. This paper provides the bistatic analysis of the FKIE Passive Radar Data Set and a multistatic analysis of a simplified variant of this data set. Results of GMPHD and GMCPHD are compared utilizing the MSTWG performance metrics.