Multitarget Filtering With Unknown Clutter Density Using a Bootstrap GMCPHD Filter

It was recently demonstrated that the Gaussian Mixture Cardinalised Probability Hypothesis Density (GMCPHD) filter can be used when the clutter density is unknown. Here we examine the performance of this filter, and as one would expect, it does not do as well as the conventional GMCPHD with matched clutter density. To improve the performance, we propose a bootstrap filtering scheme, and demonstrate by simulations on a bearings-only multitarget filtering scenario, that it is capable of performing almost as well as the matched GMCPHD filter.

[1]  Ba-Ngu Vo,et al.  Gaussian mixture PHD and CPHD filtering with partially uniform target birth , 2012, 2012 15th International Conference on Information Fusion.

[2]  Taek Lyul Song,et al.  Adaptive Clutter Measurement Density Estimation for Improved Target Tracking , 2011, IEEE Transactions on Aerospace and Electronic Systems.

[3]  Robin J. Evans,et al.  Integrated probabilistic data association , 1994, IEEE Trans. Autom. Control..

[4]  Ba-Ngu Vo,et al.  CPHD Filtering With Unknown Clutter Rate and Detection Profile , 2011, IEEE Transactions on Signal Processing.

[5]  Darko Musicki,et al.  Joint Integrated Probabilistic Data Association - JIPDA , 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).

[6]  R. Mahler,et al.  PHD filters of higher order in target number , 2006, IEEE Transactions on Aerospace and Electronic Systems.

[7]  Y. Bar-Shalom,et al.  Tracking in a cluttered environment with probabilistic data association , 1975, Autom..

[8]  S. Stankovic,et al.  Integrated probabilistic data association (IPDA) , 1992, [1992] Proceedings of the 31st IEEE Conference on Decision and Control.

[9]  Ba-Ngu Vo,et al.  Analytic Implementations of the Cardinalized Probability Hypothesis Density Filter , 2007, IEEE Transactions on Signal Processing.

[10]  Ning Li,et al.  Integrated real-time estimation of clutter density for tracking , 2000, IEEE Trans. Signal Process..

[11]  Ba-Ngu Vo,et al.  On performance evaluation of multi-object filters , 2008, 2008 11th International Conference on Information Fusion.

[12]  Ba-Ngu Vo,et al.  A Consistent Metric for Performance Evaluation of Multi-Object Filters , 2008, IEEE Transactions on Signal Processing.

[13]  Yakov Bar-Shalom,et al.  Multitarget-Multisensor Tracking: Principles and Techniques , 1995 .