Vladimir Aristov

For a stroboscopic converter, which is a receiver of an ultra-wideband pulsed georadar, the effect of the nonlinearity of the “slow” sawtooth v

The desire to increase the energy of the pulses by which the impact excitation of ultrawideband antennas is carried out prompts some authors of equipment (

This paper presents a study of the prerequisites and the original way of transition from a quasi-monostatic antenna system to a monostatic one as applied t

Signal propagation models play a fundamental role in radio frequency communication research. However, emerging communication methods, such as body-coupled communication (BCC), require the creation of new models. In this paper, we introduce mathematical models that approximate the human body as an electrical circuit, as well as linear regression- and random forest-based predictive models that infer the expected signal loss from its frequency, measurement point locations, and body parameters. The results demonstrate a close correspondence between the amplitude-frequency response (AFR) predicted by the electrical circuit models and the experimental data gathered from volunteers. The accuracy of our predictive models was assessed by using their root mean square errors (RMSE), ranging from 1.5 to 7 dB depending on the signal frequency within the 0.05 to 20 MHz range. These results allow researchers and engineers to simulate and forecast the expected signal loss within BCC systems during their design phase.

In the proposed work we investigate the possibility of measuring a complex resistance remote by several meters, in particular the parallel connection of an

In this work, the possibility of determining the geometric shape of the cross section of dielectric objects in the case of a priori information on their in

This document describes the results of the study contributing to the methods and tools applicable in plastic waste sorting systems that exploit the multistatic ultra-wideband impulse radar enforced with a deep learning signal processing back-end. The novelty of the research is the use of synthetic data for the development of a trained neural network before real data are available, and the use of a multistatic radar for the improvement of the training data set. The study results are described in multiple publications; the current paper shows the applicability of the described approach. The main results are as follows: a monostatic impulse radar can be used for the determination of material properties, such as thickness, dielectric permittivity, and losses, with limited accuracy; multistatic radar configuration increases the accuracy of the material property estimation; an open source finite difference time domain simulator can be used to simulate electromagnetic wave propagation in dielectric structures in order to generate synthetic data for development of optimized artificial neuron network structures used for the estimation of dielectric material properties, and the developed network can successfully be used for multistatic radar data processing.

For the classical peak detector built on modern electronic components and designed to measure the amplitude of nanosecond pulses, an equivalent circuit, wh

The article proposes and studies a mathematical model for the determination of the basic electrophysical properties of a dielectric object presented as a s

This article describes a classic ground-penetrating radar, which includes a transmitter on two step-recovery diodes for the shock excitation of an ultra-wi