Contents I. Introduction
Indoor human detection and tracking is now acknowledged to be useful for a wide range of security and safety applications, such as airport security, anti-intruder and through-wall sensing of terrorists [1]. Currently spatially coherent processing (e.g. synthetic aperture radar and array based processing [2]) is the main approach for indoor human tracking. It is based on the assumption that the spatial phase difference is kept during the through-wall propagation of the electromagnetic wave. However, the nonhomogeneous wall in a real world disrupts the wave coherency significantly, which causes inaccuracies in the spatially coherent processing, and sometimes even makes it unreliable. Therefore, a multistatic radar based spatially incoherent approach for indoor human tracking was proposed in our previous work [3], in order to tackle the challenge of nonhomogeneous walls from a different perspective.
