Title :
Comparison of PHD based filters for the tracking of 3D aerial and naval scenarios
Author_Institution :
Inst. de Math. de Bordeaux (1MB), INRIA Bordeaux - Sud Ouest, Bordeaux, France
Abstract :
The Probability Hypothesis Density (PHD) filter is applied to realistic three-dimensional aerial and naval scenarios to illustrate its performance in detecting, initiating and terminating tracks in presence of clutter. Radar measurements are available every two seconds. A comparisons between different approximations of the PHD recursion, namely the sequential Monte Carlo and the Gaussian Mixture approximation, is given on different scenarios using the OSPA metric and different levels of clutter.
Keywords :
Gaussian processes; Monte Carlo methods; approximation theory; filters; object detection; radar clutter; radar detection; radar tracking; target tracking; 3D aerial tracking; Gaussian Mixture approximation; PHD based filters; naval tracking; probability hypothesis density filter; radar clutter; radar measurements; sequential Monte Carlo simulation; three-dimensional aerial; track detection; Clutter; Equations; Filters; Monte Carlo methods; Noise measurement; Radar detection; Radar tracking; Recursive estimation; State estimation; Target tracking; Air-Sea Simulation; Multi Target Tracking; PHD Filter;
Conference_Titel :
Radar Conference, 2010 IEEE
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-5811-0
DOI :
10.1109/RADAR.2010.5494574
