Target Type Tracking with PCR5 and Dempster's rules: A Comparative
  Analysis
  In this paper we consider and analyze the behavior of two combinational rules
for temporal (sequential) attribute data fusion for target type estimation. Our
comparative analysis is based on Dempster's fusion rule proposed in
Dempster-Shafer Theory (DST) and on the Proportional Conflict Redistribution
rule no. 5 (PCR5) recently proposed in Dezert-Smarandache Theory (DSmT). We
show through very simple scenario and Monte-Carlo simulation, how PCR5 allows a
very efficient Target Type Tracking and reduces drastically the latency delay
for correct Target Type decision with respect to Demspter's rule. For cases
presenting some short Target Type switches, Demspter's rule is proved to be
unable to detect the switches and thus to track correctly the Target Type
changes. The approach proposed here is totally new, efficient and promising to
be incorporated in real-time Generalized Data Association - Multi Target
Tracking systems (GDA-MTT) and provides an important result on the behavior of
PCR5 with respect to Dempster's rule. The MatLab source code is provided in
