Abstract
In this paper, it is presented for the first time a simple and effective methodology for determining the number and positions of various intruders in indoor environments by using a cooperative network of multistatic radars. Several combinations of transceivers and receivers generate various point estimates of the intruders’ positions. It is proposed in this work a statistical procedure that processes the overall cloud of point estimates towards the generation of spheres of estimates, which define regions with high probability of containing the intruders. This is accomplished by defining a volumetric discrete probability density function of estimates. The efficiency of the methodology was evaluated by means of FDTD numerical simulations and the intruders were detected and properly located for most of the studied cases.
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