Influence assessment of distance to the source of pulse signals with harmonic components on the temporal distortion of their forms

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dc.citation.epage67
dc.citation.issue1
dc.citation.journalTitleДосягнення у кібер-фізичних системах
dc.citation.spage61
dc.contributor.affiliationIvano-Frankivsk National Technical University of Oil and Gas
dc.contributor.authorVanchak, Vitalii
dc.contributor.authorMelnychuk, Stepan
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
dc.date.accessioned2025-03-17T10:08:04Z
dc.date.created2024-02-27
dc.date.issued2024-02-27
dc.description.abstractWithin the scope of this article, periodic pulse signal typical samples with harmonic components have been analyzed, including their spectral fluctuations, changes in their frequency range, and the form of signal typical samples depending on the distance. Collected statistical information regarding changes in the duration of typical samples affected by distance change from the signal source to the sensor based on data collected during field experiments. Signal features by which typical samples can be recognized have been outlined and their duration effectively measured. The dynamics of frequency spectrum change and duration of repetitive typical samples have been presented depending on the distance to the signal source. Additionally, the frequency range and average duration range of the researched typical samples, and their variations have been provided based on the gathered statistics data.
dc.format.extent61-67
dc.format.pages7
dc.identifier.citationVanchak V. Influence assessment of distance to the source of pulse signals with harmonic components on the temporal distortion of their forms / Vanchak Vitalii, Melnychuk Stepan // Advances in Cyber-Physical Systems. — Lviv : Lviv Politechnic Publishing House, 2024. — Vol 9. — No 1. — P. 61–67.
dc.identifier.citationenVanchak V. Influence assessment of distance to the source of pulse signals with harmonic components on the temporal distortion of their forms / Vanchak Vitalii, Melnychuk Stepan // Advances in Cyber-Physical Systems. — Lviv : Lviv Politechnic Publishing House, 2024. — Vol 9. — No 1. — P. 61–67.
dc.identifier.doidoi.org/10.23939/acps2024.01.061
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/64193
dc.language.isoen
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofДосягнення у кібер-фізичних системах, 1 (9), 2024
dc.relation.ispartofAdvances in Cyber-Physical Systems, 1 (9), 2024
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dc.relation.references[22] Vanchak V. S., Melnychuk S. I., & Manuliak I. Z. (2023). Frequency spectrum distortion of periodic impulse signals with harmonic components affected by distance to the source. In materials of All-Ukrainian scientific and practical conference “IT in education and industry”, Ivano-Frankivsk, Ukraine, Oct. 12, 2023. Ivano-Frankivsk: IFNTUOG, 217–218.
dc.relation.references[23] Vanchak V. S., Melnychuk S. I., & Manuliak I. Z. (2023). Efficiency of low-pass filters based on FFT for SNR improvement of periodic impulse signals with harmonic components. In materials of XII-th scientific and practical conference “Problems of informatics and computer technologies”, IvanoFrankivsk, Ukraine, Nov. 10–12, 2023. Chernivtsi: Yuriy Fedkovych Chernivtsi National Technical University. 71–73.
dc.relation.references[24] Voronych, A., Nykolaychuk, L., Grynchyshyn, T., Hryha, V., Melnychuk, S., & Nykolaychuk, Y. (2020, September). Development of Theory, Scope and Tools for Entropy Signals and Data Processing. In 2020 10th International Conference on Advanced Computer Information Technologies (ACIT), Deggendorf, Germany, Sept. 16–18, 2023. IEEE, 260–264. DOI: https://doi.org/10.1109/ACIT49673.2020.9208912
dc.relation.referencesen[1] Zhao, Y., Niu, F., Liu, H., Jia, X., Yang, J., & Huo, S. (2020). Source receiver interferometric redatuming using sparse buried receivers to address complex near‐surface environments: A case study of seismic imaging quality and time lapse repeatability. Journal of Geophysical Research: Solid Earth, 125(6), e2020JB019496. DOI: https://doi.org/10.1029/2020JB019496
dc.relation.referencesen[2] Saux, B., Borgmans, J., Raman, J., & Rombouts, P. (2024). Origin of Frequency-Dependent Distortion and Calibration for Ring Oscillator VCO ADCs, IEEE Trans. Circuits Syst. II: Exp. Briefs. DOI: https://doi.org/10.1109/tcsii.2024.3370121
dc.relation.referencesen[3] Wang, B., Chen, X., Li, Y., Zhou, Q., & Li, Y. (2022). Research on Time Sidelobe Analysis on Pulse Compression Signal. Journal of Physics: Conference Series, 2366(1), 012022. DOI: https://doi.org/10.1088/1742-6596/2366/1/012022
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dc.relation.referencesen[5] Damskägg, E. P., & Välimäki, V. (2017). Audio time stretching using fuzzy classification of spectral bins. Applied Sciences, 7(12), 1293. DOI: 10.3390/app7121293
dc.relation.referencesen[6] Mariani, S., Liu, Y., & Cawley, P. (2021). Improving sensitivity and coverage ofstructural health monitoring using bulk ultrasonic waves. Structural Health Monitoring, 20(5), 2641–2652. DOI: 10.1177/1475921720965121
dc.relation.referencesen[7] Dan, D., Wang, C., Pan, R., & Cao, Y. (2022). Online Sifting Technique for Structural Health Monitoring Data Based on Recursive EMD Processing Framework. Buildings, 12(9), 1312. DOI: 10.3390/buildings12091312
dc.relation.referencesen[8] Zhou, W. (2022). Reaching the Frequency Resolution Limit in a Single-Shot Spectrum of an Ultra-Short Signal Pulse Using an Analog Optical Auto-Correlation Technique. Journal of Lightwave Technology, 41(1), 114–119. DOI: 10.1109/jlt.2022.3213188
dc.relation.referencesen[9] Gobron, K., Rebischung, P., Van Camp, M., Demoulin, A., & de Viron, O. (2021). Influence of aperiodic non‐tidal atmospheric and oceanic loading deformations on the stochastic properties of global GNSS vertical land motion time series. Journal of Geophysical Research: Solid Earth, 126(9), e2021JB022370. DOI: 10.1029/2021jb022370
dc.relation.referencesen[10] Ruan, H., Zhang, L., & Long, T. (2016). Sinc interpolation based method for compensation of ionospheric dispersion effects on BOC signals with high subcarrier rate. Science China. Information Sciences, 59(10), 102311. DOI: 10.1007/s11432-016-5555-3
dc.relation.referencesen[11] Zhou, W., Lv, Z., Deng, X., & Ke, Y. (2022). A new induced GNSS spoofing detection method based on weighted secondorder central moment. IEEE Sensors Journal, 22(12), 12064-12078. DOI: 10.1109/jsen.2022.3174019
dc.relation.referencesen[12] Zhuang, C., Zhao, H., Sun, C., & Feng, W. (2020). Detection and classification of GNSS signal distortions based on quadratic discriminant analysis. IEEE Access, 8, 25221–25236. DOI: 10.1109/access.2020.2965617
dc.relation.referencesen[13] Li, X., Wang, C., Zhu, C., Wang, S., Li, W., Wang, L., & Zhu, W. (2022). Coseismic deformation field extraction and fault slip inversion of the 2021 Yangbi Mw 6.1 earthquake, Yunnan Province, based on time-Series InSAR. Remote Sensing, 14(4), 1017. DOI: 10.3390/rs14041017
dc.relation.referencesen[14] Sun, Y., & Ochiai, H. (2021). Performance analysis and comparison of clipped and filtered OFDM systems with iterative distortion recovery techniques. IEEE Transactions on Wireless Communications, 20(11), 7389–7403. DOI:10.1109/twc.2021.3083537
dc.relation.referencesen[15] Soares de Alcantara, D., Balestrassi, P. P., Freitas Gomes, J. H., & Carvalho Castro, C. A. (2020). Vibrations in CDFW. Entropy, 22(6), 704. DOI: 10.3390/e22060704
dc.relation.referencesen[16] Wu D., Zhuo X., Chen Y., Ren G., & Deng W. (2022) An Approach to Vibration Signal Analysis Using Quantum Probability. Advances Transdisciplinary Eng., Vol. 24. 336–342. DOI: 10.3233/atde220455
dc.relation.referencesen[17] Han, B., Zhang, G., Wang, J., Wang, X., Jia, S., & He, J. (2020). Research and application of regularized sparse filtering model for intelligent fault diagnosis under large speed fluctuation. IEEE Access, 8, 39809–39818. DOI: 10.1109/access.2020.2975531
dc.relation.referencesen[18] Chen, D., Han, J., Cui, X., & Fan, J. (2018). Identification and evaluation for the dynamic signals caused by pressure fluctuation of aerostatic slider. Industrial Lubrication and Tribology, 70(6), 927–934. DOI: 10.1108/ilt-11-2016-0271
dc.relation.referencesen[19] Wang, G.; Zhou, Y.; Min, R.; Du, E.; Wang, C. (2023). Principle and Recent Development in Photonic Time-Stretch Imaging. Photonics, 10(7), 817. DOI: https://doi.org/10.3390/photonics10070817
dc.relation.referencesen[20] Gui, Y. F., & Dou, W. B. (2008). Phenomena of paired echoes and transmission characteristics of the pulse signal in dispersive transmission lines with discontinuities. Progress In Electromagnetics Research B, 5, 225–240. DOI: https://doi.org/10.2528/pierb08022202
dc.relation.referencesen[21] Six, P. W. M., &serialUSART, P. (2015). 8-bit AVR Microcontroller with 32K Bytes In-System Programmable Flash. Atmel7810-Automotive-Microcontrollers-ATmega328P_Datasheet. pdf. [Online]. Available: https://ww1.microchip.com/downloads/en/DeviceDoc/Atmel-7810-Automotive-MicrocontrollersATmega328P_Datasheet.pdf
dc.relation.referencesen[22] Vanchak V. S., Melnychuk S. I., & Manuliak I. Z. (2023). Frequency spectrum distortion of periodic impulse signals with harmonic components affected by distance to the source. In materials of All-Ukrainian scientific and practical conference "IT in education and industry", Ivano-Frankivsk, Ukraine, Oct. 12, 2023. Ivano-Frankivsk: IFNTUOG, 217–218.
dc.relation.referencesen[23] Vanchak V. S., Melnychuk S. I., & Manuliak I. Z. (2023). Efficiency of low-pass filters based on FFT for SNR improvement of periodic impulse signals with harmonic components. In materials of XII-th scientific and practical conference "Problems of informatics and computer technologies", IvanoFrankivsk, Ukraine, Nov. 10–12, 2023. Chernivtsi: Yuriy Fedkovych Chernivtsi National Technical University. 71–73.
dc.relation.referencesen[24] Voronych, A., Nykolaychuk, L., Grynchyshyn, T., Hryha, V., Melnychuk, S., & Nykolaychuk, Y. (2020, September). Development of Theory, Scope and Tools for Entropy Signals and Data Processing. In 2020 10th International Conference on Advanced Computer Information Technologies (ACIT), Deggendorf, Germany, Sept. 16–18, 2023. IEEE, 260–264. DOI: https://doi.org/10.1109/ACIT49673.2020.9208912
dc.relation.urihttps://doi.org/10.1029/2020JB019496
dc.relation.urihttps://doi.org/10.1109/tcsii.2024.3370121
dc.relation.urihttps://doi.org/10.1088/1742-6596/2366/1/012022
dc.relation.urihttps://fastercapital.com/content/From-Signals-to-Spectra--Exploring-Crosscorrelation-with-Fourier-Transformupdate.html#Crosscorrelation-in-Time-and-FrequencyDomains.html
dc.relation.urihttps://doi.org/10.3390/photonics10070817
dc.relation.urihttps://doi.org/10.2528/pierb08022202
dc.relation.urihttps://ww1.microchip.com/downloads/en/DeviceDoc/Atmel-7810-Automotive-MicrocontrollersATmega328P_Datasheet.pdf
dc.relation.urihttps://doi.org/10.1109/ACIT49673.2020.9208912
dc.rights.holder© Національний університет “Львівська політехніка”, 2024
dc.rights.holder© Vanchak V., Melnychuk S., 2024
dc.subjectDiscrete signal
dc.subjectPeriodic pulse signal
dc.subjectSignal analysis
dc.subjectSignal distortion
dc.titleInfluence assessment of distance to the source of pulse signals with harmonic components on the temporal distortion of their forms
dc.typeArticle

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Advances In Cyber-Physical Systems. – 2024. – Vol. 9, No. 1