An optimum placement and dimensioning of decaps on a printed circuit board is determined by a Genetic Algorithm (GA). The use of an artificial neural network as surrogate model to compute fitness values for the GA significantly reduces computation time. With the optimization framework at hand, the risk of a redesign that would take several weeks can be significantly reduced by a computation that just needs a few minutes.

This article deals with the relatively late introduction of entertainment radio in Germany compared to other technically advanced countries. Following current broadcasting history, the German Post Office was initially interested in the commercial use of wireless technology after the end of the First World War. Due to the success of entertainment radio in the USA and UK, there were demands from industry and radio amateurs for its opening in Germany as well, which finally happened with a delay.

The results of immunity tests on components of self-driving automobiles to radiated high power electromagnetic (HPEM) pulses are presented in this work. It is of particular interest to investigate such automobiles’ resilience towards deliberate attacks with electromagnetic interference (EMI). A characterization of the applied pulses are presented. A correlation can be drawn between the pulse repetition rate or the amplitude of the applied pulses and the severity of the effect on the DUTs.

The paper focuses on computational electromagnetics. To reduce the computation burden, the domain is divided into smaller subdomains that are solved separately. A feature of such a scheme is the expression of the multipole expansion in one subdomain due to the sources placed in another subdomain. This work analyzes an alternative method to do this task. Now, the subdomains enclosing the antennas can have an arbitrary shape, hence reducing the distances between the antennas and the scatterers.

The manuscript is about the design and experimental characterization of microwave filters to be used for satellite communication, especially for the E1 Galileo band. To feed the filter with microwave power, inductive and capacitive coupling schemes are adopted and compared. The measurement results show a good agreement with simulated ones. The outcome of this research is to compare the inductive and capacitive coupling schemes in the design of combline cavity filters.

In electronic design development, schematics are used to depict electrical circuits and validate them before manufacturing. As such designs are often handed in as images (bitmaps) only, there is no way to easily process and check them in an automated way.
With the help of deep-learning methods, components, lines and text can be extracted from these bitmaps.
Fusing these detections, the electrical circuit can be reconstructed and serve as an input for further validation routines.

This paper aims to classify electromagnetic compatibility (EMC) issues using autoencoders, a dimensionality reduction technique, and machine learning models. The process begins by generating EMC measurement data that closely reflects real-world measurements. The samples are then reduced using autoencoders and used as input for the machine-learning models. The results demonstrate that the machine learning techniques were able to accurately classify between the different EMC classes. 

In this study, the impact of LO signal variations on VNA measurements is investigated. The effect of LO signal changes is studied through theoretical analysis and experiments. It is found that even minor LO signal phase changes after calibration significantly affect the measured phase angles of transmission coefficients. Error correction terms are derived and applied to correct errors in the experimental data. The results shows that corrected measurements remain unaffected by the effect.

A systematic analysis of measurement uncertainties in rectangular waveguide calibrations is condcuted. Uncertainty budgets for different waveguide bands are examined, individual uncertainty contributions are discussed and the significant impact of connection repeatability is highlighted. Consequently, an investigation into misaligned waveguide interfaces is undertaken, emphasizing the importance of precise alignment, supported by simulation and experimental data.

The paper describes a method to derive the electrical characteristics of the sea surface from Earth observation data and compute the ground-wave signal delay across sea-ice covered areas.
It is used in a tool chain to simulate signal propagation in a real-world scenario for the medium-frequency radio navigation R-Mode and assess the impact of sea ice on the signal propagation delays. The results indicate, that the effect of sea ice is significant and needs to be compensated.