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Single scan multi-target tracking using joint state particle filters

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1 Author(s)
Aslan, M.S. ; Saab AB, Järfälla, Sweden

In this paper, we compare some of the existing joint state particle filtering algorithms for closely spaced target tracking problem. Both maximum a posteriori (MAP) and minimum mean square error (MMSE) estimation outputs of four different algorithms are compared. We also include comparison of a non-joint state particle filter and Kalman filter for a baseline. Simulation results show that claimed performance of MAP based output is misleading and non-joint state particle filtering seems more appealing in terms of estimation performance than joint state counterparts.

Published in:

Signal Processing and Communications Applications Conference (SIU), 2012 20th

Date of Conference:

18-20 April 2012