Analysis of the multisensor multitarget tracking resource allocation problem

The paper deals with a study of the multisensor management problem. The main tool is the classical assignment formulation, using Kullback-Leibler entropy as costs. In order to use the benefit brought by the data fusion, coalitions or pseudosensors must be created at each step of time, creating an exponential calculus of all the possible sensor partitions. We compare this method and a predefinite strategy using different scenarios.