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In the paper, we discuss the scheme and the prospects of holographic visualization for microwave scattering objects. At the core of our method is microwave registrationbased on spin diodes, to identify obstacles to the movement for the car’s autonomous driving system. The resolution of the holographic system grows with wavelength decrease. However, the recording capacity at a given level of irradiating signal and diode noise decreases. We give an algorithm for the numerical reconstruction and visualization of obstacles. Estimates for the resolution and the reliability of object identification, depending on the distance to the obstacle, obtained by numerical modeling. We show that there is an optimal wavelength to reach the maximum distance of microwave recording, taking into account the system resolution and the acceptable signal level. Highly sensitive spin diodes, feasible for the 2-30 cm wavelength range, nearly approach the optimum range, which is ~ 0.5-1 cm for Schottky diodes, in their holographic visualization ability. Based on the Kotelnikov theorem for the sampling frequency of a harmonic signal, and on numerical experiments, the requirements for the placement density of the receiving elements of the recorder antenna array were determined depending on the distance to the object, the number of sensors and the recording window size. We show that a microwave-recording device based on spin diodes can be promising for an autonomous driving system in conditions of constrained movement with poor visibility and high noise.

Spin Diode Based Microwave Registration and Holographic Visualization of Wave Front Scattering for an Autonomous Driving System