Derivative Probes Signal Integration Techniques for High Energy Pulses Measurements
The paper presents problems related to the processing of signals recorded with differential field probes E and H. The fundamental problem to which special attention has been paid is the result of the integration operation. Due to the presence of constant/slowly-varying components in the raw signal,...
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MDPI AG
2022-03-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/15/6/2244 |
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author | Adam Jóśko Bogdan Dziadak Jacek Starzyński Jan Sroka |
author_facet | Adam Jóśko Bogdan Dziadak Jacek Starzyński Jan Sroka |
author_sort | Adam Jóśko |
collection | DOAJ |
description | The paper presents problems related to the processing of signals recorded with differential field probes E and H. The fundamental problem to which special attention has been paid is the result of the integration operation. Due to the presence of constant/slowly-varying components in the raw signal, there is a drift present in the outcome of integration. This line wander can be enormous. This is particularly evident if the integration is performed in a standard manner, uniformly over the entire recorded waveform. The paper contains the Authors’ proposition to segment the signal and perform the integration independently in each of the sub-regions. This approach is based on the assumption of a local mean value instead of its global character for the recorded waveform. Although this leads to more complex signal processing, it gives significantly better results as it is suppressing the deterioration drift in the integrated signal more than 400 times. The results are presented on laboratory recordings and outdoor tests. In the first case, voltage pulses with durations of about 50 ns and rise times in the range of single ns were recorded. In the second case, high-energy electromagnetic pulse signals were used. It was formed by sinusoidal waveforms packets of 3 GHz frequency with a single packet duration of 5 μs and packet repetition frequency f ≤ 300 Hz. |
first_indexed | 2024-03-09T19:52:46Z |
format | Article |
id | doaj.art-04a1333fb1214375856987a2d3dc93c5 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-09T19:52:46Z |
publishDate | 2022-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-04a1333fb1214375856987a2d3dc93c52023-11-24T01:05:49ZengMDPI AGEnergies1996-10732022-03-01156224410.3390/en15062244Derivative Probes Signal Integration Techniques for High Energy Pulses MeasurementsAdam Jóśko0Bogdan Dziadak1Jacek Starzyński2Jan Sroka3Faculty of Electrical Engineering, Warsaw University of Technology, 00-661 Warsaw, PolandFaculty of Electrical Engineering, Warsaw University of Technology, 00-661 Warsaw, PolandFaculty of Electrical Engineering, Warsaw University of Technology, 00-661 Warsaw, PolandFaculty of Electrical Engineering, Warsaw University of Technology, 00-661 Warsaw, PolandThe paper presents problems related to the processing of signals recorded with differential field probes E and H. The fundamental problem to which special attention has been paid is the result of the integration operation. Due to the presence of constant/slowly-varying components in the raw signal, there is a drift present in the outcome of integration. This line wander can be enormous. This is particularly evident if the integration is performed in a standard manner, uniformly over the entire recorded waveform. The paper contains the Authors’ proposition to segment the signal and perform the integration independently in each of the sub-regions. This approach is based on the assumption of a local mean value instead of its global character for the recorded waveform. Although this leads to more complex signal processing, it gives significantly better results as it is suppressing the deterioration drift in the integrated signal more than 400 times. The results are presented on laboratory recordings and outdoor tests. In the first case, voltage pulses with durations of about 50 ns and rise times in the range of single ns were recorded. In the second case, high-energy electromagnetic pulse signals were used. It was formed by sinusoidal waveforms packets of 3 GHz frequency with a single packet duration of 5 μs and packet repetition frequency f ≤ 300 Hz.https://www.mdpi.com/1996-1073/15/6/2244electromagnetic fieldsignal processingnumerical integrationhigh speed field measurement |
spellingShingle | Adam Jóśko Bogdan Dziadak Jacek Starzyński Jan Sroka Derivative Probes Signal Integration Techniques for High Energy Pulses Measurements Energies electromagnetic field signal processing numerical integration high speed field measurement |
title | Derivative Probes Signal Integration Techniques for High Energy Pulses Measurements |
title_full | Derivative Probes Signal Integration Techniques for High Energy Pulses Measurements |
title_fullStr | Derivative Probes Signal Integration Techniques for High Energy Pulses Measurements |
title_full_unstemmed | Derivative Probes Signal Integration Techniques for High Energy Pulses Measurements |
title_short | Derivative Probes Signal Integration Techniques for High Energy Pulses Measurements |
title_sort | derivative probes signal integration techniques for high energy pulses measurements |
topic | electromagnetic field signal processing numerical integration high speed field measurement |
url | https://www.mdpi.com/1996-1073/15/6/2244 |
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