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Abstract-This work develops Compressed Sensing techniques to improve the performance of an active three dimensional (3D) millimeter wave imaging system for personnel security screening. The system is able to produce a high-resolution 3D reconstruction of the whole human body surface and reveal concealed objects under clothing. Innovative multistatic millimeter wave radar designs and algorithms, which have been previously validated, are combined to improve the reconstruction results over previous approaches. Compressed Sensing techniques are used to drastically reduce the number of sensors, thus simplifying the system design and fabrication. Representative simulation results showing good performance of the proposed system are provided and supported by several sample measurements.

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Abstract-An inverse Fast Multipole Method (FMM) for imaging applications is presented. The goal is the acceleration of an inverse source-based method for geometry reconstruction achieved by taking advantage of the multipole expansion properties of the scattered fields and reconstructed equivalent currents. By conjugating the FMM terms, it is possible to recover the equivalent currents from the scattered fields in just one step rather than using matrix inversion or cost function minimization. For the sake of simplicity, 2D problems where the objects-undertest having symmetry along one dimension are considered.

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