A Robust Millimeter Wave Imaging Algorithm for Personnel Screening

Millimeter wave imaging (MMWI) has progressed rapidly as a new security means for its no ionizing radiation hazard to human body. A general theory of holographic inversion with linear frequency modulation (GHI-LFM) has been deduced recently. In this paper, the GHI-LFM algorithm is preliminarily validated by imaging a benchmark object using in-house acquired real data. It is further numerically investigated about its performance against additive noise, frequency shift and frequency slope. It is observed that GHI-LFM behaves very robustly.