The paper is devoted to the problem of design a contact-less radar MIMO system for the non-destructive testing (NDT) of concrete and reinforced concrete objects using the linearly Frequency-Modulated Continuum Waves signals (FMCW). This paper is the first one in the investigation of the described problem. In the consideration, the greatest interest is in the evaluation of the reinforcement parameters (reinforcing bar diameters and depth of reinforcement frames), thickness estimation, and visualization of the controlled objects in the lack of two-way access (for instance, foundations, slabs, and e.t.c.). The contact-less measurements allow one to speed-up and simplify the testing routine. In the designed device the described features are attained through the using of uniform rectangular array (URA) multi-input-multi-output (MIMO) systems with the FMCW signals and algorithms of signal processing and deep-learning based image processing under investigation. By this we are expect to achieve a high energy of emitting (high signal-to-noise ratio i.e. high depth) and a high space resolution in three dimensions. This paper is devoted to the first stage of the research which is the electrodynamics simulation of the FMCW signals in the investigated system. The results then will be used to signal processing algorithms investigation and gathering the dataset for the deep-neural network training (the second-stage processing and high-resolution visualization and reinforcement parameters investigation).