Title :
Analysis of the FKIE Passive Radar Data Set with GMPHD and GMCPHD
Author :
Pikora, Kolja ; Ehlers, Frank
Author_Institution :
Fac. of Eng., Univ. of Kiel, Kiel, Germany
Abstract :
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.
Keywords :
Bayes methods; Gaussian processes; passive radar; radar tracking; recursive estimation; target tracking; tracking filters; FKIE passive radar data set analysis; GMCPHD; GMPHD; Gaussian mixture approach; MSTWG performance metric; bistatic analysis; cardinalized probability hypothesis density; multistatic analysis; multitarget Bayes recursion; multitarget state estimation; Approximation methods; Equations; Passive radar; Radar tracking; Receivers; Target tracking; Trajectory;
Conference_Titel :
Information Fusion (FUSION), 2013 16th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-605-86311-1-3
