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Journal articles on the topic 'Radio wave propagation – Africa'

Author: Grafiati

Published: 4 June 2021

Last updated: 5 February 2022

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1

Girma, Solomon T., Dominic B. O. Konditi, and Ciira Maina. "A Novel Radio Wave Propagation Modeling Method Using System Identification Technique over Wireless Links in East Africa." International Journal of Antennas and Propagation 2018 (November 26, 2018): 1–7. http://dx.doi.org/10.1155/2018/2162570.

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Transmission of a radio signal through a wireless radio channel is affected by refraction, diffraction and reflection, free space loss, object penetration, and absorption that corrupt the originally transmitted signal before radio wave arrives at a receiver antenna. Even though there are many factors affecting wireless radio channels, there are still a number of radio wave propagation models such as Okumura, Hata, free space model, and COST-231 to predict the received signal level at the receiver antenna. However, researchers in the field of radio wave propagation argue that there is no universally accepted propagation model to guarantee a universal recommendation. Thus, this research is aimed at determining the difference between the measured received signal levels and the received signal level calculated from the free space propagation model. System identification method has been proposed to determine this unknown difference. Measured received signal levels were collected from three randomly selected urban areas in Ethiopia using a computer, Nemo test tool, Actix software, Nokia phone, and GPS. The result from the simulations was validated against the received experimental signal level measurement taken in a different environment. From the simulation results, the mean square error (MSE) was 4.169 dB, which is much smaller than the minimum acceptable MSE value of 6 dB for good signal propagation, and 74.76% fit to the estimation data. The results clearly showed that the proposed radio wave propagation model predicts the received signal levels at 900 MHz and 1800 MHz in the study region.

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2

Altadill, David, Antoni Segarra, Estefania Blanch, José Miguel Juan, Vadym V. Paznukhov, Dalia Buresova, Ivan Galkin, Bodo W. Reinisch, and Anna Belehaki. "A method for real-time identification and tracking of traveling ionospheric disturbances using ionosonde data: first results." Journal of Space Weather and Space Climate 10 (2020): 2. http://dx.doi.org/10.1051/swsc/2019042.

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Traveling Ionospheric Disturbances (TIDs) are wave-like propagating irregularities that alter the electron density environment and play an important role spreading radio signals propagating through the ionosphere. A method combining spectral analysis and cross-correlation is applied to time series of ionospheric characteristics (i.e., MUF(3000)F2 or foF2) using data of the networks of ionosondes in Europe and South Africa to estimate the period, amplitude, velocity and direction of propagation of TIDs. The method is verified using synthetic data and is validated through comparison of TID detection results made with independent observational techniques. The method provides near real time capability of detection and tracking of Large-Scale TIDs (LSTIDs), usually associated with auroral activity.

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3

Modi, Vatsal. "Radio Wave Propagation." IOSR Journal of Electronics and Communication Engineering 9, no. 1 (2014): 17–19. http://dx.doi.org/10.9790/2834-09151719.

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4

DAVIES, K. "Wave Propagation: The Propagation of Radio Waves." Science 232, no. 4756 (June 13, 1986): 1448. http://dx.doi.org/10.1126/science.232.4756.1448.

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5

Goldman, J., and G. W. Swenson. "Radio wave propagation through woods." IEEE Antennas and Propagation Magazine 41, no. 5 (1999): 34–36. http://dx.doi.org/10.1109/74.801512.

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6

Africa, Aaron Don M. "Modes of Radio Wave Propagation: Troposcatter." International Journal of Emerging Trends in Engineering Research 8, no. 4 (April 25, 2020): 1175–79. http://dx.doi.org/10.30534/ijeter/2020/36842020.

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7

Hoang, S., and J. L. Steinberg. "Radio Wave Propagation in the Heliosphere." Physica Scripta T18 (January 1, 1987): 45–49. http://dx.doi.org/10.1088/0031-8949/1987/t18/005.

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8

Singal, S. P. "Radio wave propagation and acoustic sounding." Atmospheric Research 20, no. 2-4 (December 1986): 235–56. http://dx.doi.org/10.1016/0169-8095(86)90027-x.

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9

SAMI, Ghada M. "Radio Wave Propagation Characteristics in FMCW Radar." Journal of Electromagnetic Analysis and Applications 01, no. 04 (2009): 275–78. http://dx.doi.org/10.4236/jemaa.2009.14042.

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10

Gong, J., and T. S. M. Maclean. "Radio wave propagation over finite size plateau." IEEE Transactions on Antennas and Propagation 39, no. 8 (1991): 1152–57. http://dx.doi.org/10.1109/8.97350.

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11

Rinnert, Klaus, and L. J. Lanzerotti. "Radio wave propagation below the Jovian ionosphere." Journal of Geophysical Research: Planets 103, E10 (September 1, 1998): 22993–99. http://dx.doi.org/10.1029/98je01968.

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12

Schmitz, A., T. Rick, T. Karolski, T. Kuhlen, and L. Kobbelt. "Efficient Rasterization for Outdoor Radio Wave Propagation." IEEE Transactions on Visualization and Computer Graphics 17, no. 2 (February 2011): 159–70. http://dx.doi.org/10.1109/tvcg.2010.96.

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13

Bo, Ai, Thomas Kürner, César Briso Rodríguez, and Hsiao-Chun Wu. "Radio Wave Propagation and Wireless Channel Modeling." International Journal of Antennas and Propagation 2013 (2013): 1–3. http://dx.doi.org/10.1155/2013/835160.

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14

Coleman, C. J. "Huygen's principle applied to radio wave propagation." Radio Science 37, no. 6 (December 2002): 17–1. http://dx.doi.org/10.1029/2002rs002712.

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15

M. Africa, Aaron Don. "Radio Wave Propagation: Simulation of Free Space Propagation Path Loss." International Journal of Emerging Trends in Engineering Research 8, no. 2 (February 15, 2020): 281–87. http://dx.doi.org/10.30534/ijeter/2020/07822020.

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16

Wang, Chen, Dong Lai, and Jinlin Han. "Wave propagation in pulsar magnetospheres." Proceedings of the International Astronomical Union 8, S291 (August 2012): 540–42. http://dx.doi.org/10.1017/s1743921312024805.

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AbstractWe study the propagation effects of radio waves in a pulsar magnetosphere, composed of relativistic electron-positron pair plasmas streaming along the magnetic field lines and corotating with the pulsar. We critically examine the various physical effects that can potentially influence the observed wave intensity and polarization. We numerically integrate the transfer equations for wave polarization in the rotating magnetosphere, taking account of all the propagation effects in a self-consistent manner. For typical magnetospheric plasma parameters produced by pair cascade, we find that the observed radio intensity and polarization profiles can be strongly modified by the propagation effects. Some applications of our results are discussed.

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17

Bao-wei Lu. "Radio-wave propagation research in China and the 1988 Beijing international symposium on radio propagation." IEEE Antennas and Propagation Society Newsletter 29, no. 3 (1987): 17. http://dx.doi.org/10.1109/map.1987.27916.

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18

Langston, Charles A., Andrew A. Nyblade, and Thomas J. Owens. "Regional wave propagation in Tanzania, East Africa." Journal of Geophysical Research: Solid Earth 107, B1 (January 2002): ESE 1–1—ESE 1–18. http://dx.doi.org/10.1029/2001jb000167.

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19

Shoewu, O., and F. Edeko. "Analysis of radio wave propagation in Lagos environs." American Journal of Scientific and Industrial Research 2, no. 3 (June 2011): 438–55. http://dx.doi.org/10.5251/ajsir.2011.2.3.438.455.

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20

Bencze, P., and P. A. Bradley. "Oblique incidence radio-wave propagation and Es structure." Acta Geodaetica et Geophysica Hungarica 37, no. 2-3 (2002): 261–70. http://dx.doi.org/10.1556/ageod.37.2002.2-3.15.

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21

Jones, T. B., M. Lester, S. E. Milan, T. R. Robinson, D. M. Wright, and R. S. Dillon. "Radio wave propagation aspects of the CUTLASS radar." Journal of Atmospheric and Solar-Terrestrial Physics 63, no. 2-3 (January 2001): 99–105. http://dx.doi.org/10.1016/s1364-6826(00)00134-6.

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22

Letsholathebe, Douglas, Kgakgamatso M. Mphale, Samuel Chimidza, and Malcolm L. Heron. "Radio Wave Propagation Experiment in Sugarcane Fire Environments." Journal of Electromagnetic Analysis and Applications 08, no. 07 (2016): 124–31. http://dx.doi.org/10.4236/jemaa.2016.87013.

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23

Tewari, R. K., S. Swarup, and M. N. Roy. "Radio wave propagation through rain forests of India." IEEE Transactions on Antennas and Propagation 38, no. 4 (April 1990): 433–49. http://dx.doi.org/10.1109/8.52261.

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24

Ai, Bo, Thomas Kürner, César Briso Rodríguez, and Hsiao-Chun Wu. "Radio Wave Propagation and Wireless Channel Modeling 2013." International Journal of Antennas and Propagation 2014 (2014): 1–2. http://dx.doi.org/10.1155/2014/670564.

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25

Janaswamy, Ramakrishna. "Radio wave propagation over a nonconstant immittance plane." Radio Science 36, no. 3 (May 2001): 387–405. http://dx.doi.org/10.1029/2000rs002338.

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26

Crampagne, Raymond, Marc Hélier, and Walid Tabbara. "Radio-wave propagation and hypercard: A helpful link." Computer Applications in Engineering Education 1, no. 3 (1993): 205–11. http://dx.doi.org/10.1002/cae.6180010304.

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27

Schafer, T. M., J. Maurer, J. vonHagen, and W. Wiesbeck. "Experimental Characterization of Radio Wave Propagation in Hospitals." IEEE Transactions on Electromagnetic Compatibility 47, no. 2 (May 2005): 304–11. http://dx.doi.org/10.1109/temc.2005.847376.

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28

Saeidi, Chiya, Azim Fard, and Farrokh Hodjatkashani. "Full Three-Dimensional Radio Wave Propagation Prediction Model." IEEE Transactions on Antennas and Propagation 60, no. 5 (May 2012): 2462–71. http://dx.doi.org/10.1109/tap.2012.2189692.

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29

Csurgai-Horváth, László, Bernard Adjei-Frimpong, Carlo Riva, and Lorenzo Luini. "Radio Wave Satellite Propagation in Ka/Q Band." Periodica Polytechnica Electrical Engineering and Computer Science 62, no. 2 (May 23, 2018): 38–46. http://dx.doi.org/10.3311/ppee.11065.

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In 2013 the European Space Agency, in cooperation with Inmarsat, launched the Alphasat communication satellite hosting four Technology Demonstration Payloads (TDPs). One of them is the Aldo Paraboni payload, supported by the Italian Space Agency (ASI) and executed by ESA in the framework of the Advanced Research in Telecommunications Systems (ARTES) 8 Telecom program. In addition to the Communication experiment, it includes the Alphasat Scientific Experiment transmitting coherent beacon signals at Ka-band (19.701 GHz) and Q-band (39.402 GHz). The satellite supports a Europe-wide experiment to investigate the atmospheric propagation effects occurring in Ka and Q bands. The demand for increasing bandwidth in the satellite radio communication domain is moving the communication channels to the higher frequency bands. Hence for both research and commercial purposes is especially important to effectively explore the Q band that is affected by attenuation, depolarization and scintillation due to different atmospheric effects. In 2014 the Department of Broadband Infocommunications and Electromagnetic Theory at Budapest University of Technology and Economics joined the ASAPE (AlphaSat Aldo Paraboni Experimenters) group and developed a ground station to be installed in Budapest. This work was supported by the European Space Agency under its Plan for European Cooperating States program. Our paper gives the background of the Alphasat Scientific Experiment and overviews the design phases of the receiver station in Budapest. We present also the processing and validation of data recorded so far and our future experimenting plans.

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30

Isaakidis, S. A., T. D. Xenos, and J. A. Koukos. "Ionospheric radio wave propagation finite element method modeling." Electrical Engineering (Archiv fur Elektrotechnik) 85, no. 5 (November 1, 2003): 235–39. http://dx.doi.org/10.1007/s00202-003-0176-4.

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31

Wang, Hong Ming, and Jun Dong. "A Simulation System of Radio Propagation Effect Evaluation Based on GIS." Applied Mechanics and Materials 687-691 (November 2014): 3053–57. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.3053.

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Construction of wave propagation effects assessment simulation system based on GIS, for enhancing the capabilities of our military radio environment awareness, forecasting, warning and assessment of the effect is significant.In this paper, the original geographic data and radio wave propagation data will be unified as vector and raster data into GIS system structure based on ArcObjects components, combined with the development of visual language Visual C++ 6.0, designed and constructed to assess the effect of radio wave propagation simulation system. designed and built a radio wave propagation effects assessment simulation system. The system has data management, scene visualization, effects assessment, graphics output function modules, Achieved wave propagation effects assessment simulation and visualization presentation.

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32

Altayev, Aigerim Bakatkaliyevna, and Young Im Cho. "Comparison of Radio Wave Propagation Models for Mobile Networks." International Journal of Fuzzy Logic and Intelligent Systems 15, no. 3 (September 30, 2015): 192–99. http://dx.doi.org/10.5391/ijfis.2015.15.3.192.

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33

Boldyrev, Stanislav, and Carl R. Gwinn. "Radio‐Wave Propagation in the Non‐Gaussian Interstellar Medium." Astrophysical Journal 624, no. 1 (May 2005): 213–22. http://dx.doi.org/10.1086/428919.

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34

Zhang, Y. P., and Y. Hwang. "Theory of the radio-wave propagation in railway tunnels." IEEE Transactions on Vehicular Technology 47, no. 3 (1998): 1027–36. http://dx.doi.org/10.1109/25.704857.

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35

Rappaport, T. S., and S. Sandhu. "Radio-wave propagation for emerging wireless personal-communication systems." IEEE Antennas and Propagation Magazine 36, no. 5 (October 1994): 14–24. http://dx.doi.org/10.1109/74.334917.

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36

Hill, David A. "RADIO-WAVE PROPAGATION FROM A FOREST TO A CLEARING." Electromagnetics 6, no. 3 (January 1986): 217–28. http://dx.doi.org/10.1080/02726348608915213.

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37

Assis, M. S. "Radio Wave Propagation in the Amazon Jungle - A Tutorial." Revista de Tecnologia da Informação e Comunicação 2, no. 1 (October 31, 2012): 37–44. http://dx.doi.org/10.12721/2237-5112.v02n01a07.

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38

Byrne, R. J. "Book review: A Basic Atlas of Radio-Wave Propagation." Journal of the Institution of Electronic and Radio Engineers 58, no. 6S (1988): S156. http://dx.doi.org/10.1049/jiere.1988.0053.

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39

Burrows, W. Gordon. "Radio wave propagation—the means but not the end." Journal of the Institution of Electronic and Radio Engineers 58, no. 6S (1988): S133. http://dx.doi.org/10.1049/jiere.1988.0055.

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40

Eliades, D. E. "Paraxial radio-wave propagation over a ridge or valley." IEE Proceedings H Microwaves, Antennas and Propagation 139, no. 5 (1992): 424. http://dx.doi.org/10.1049/ip-h-2.1992.0075.

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41

Nenashev, V. A., and N. S. Blaunstein. "Modeling Radio Wave Propagation in an Earth-Atmosphere Channel." Informatsionno-upravliaiushchie sistemy (Information and Control Systems) 6, no. 85 (December 2016): 25–33. http://dx.doi.org/10.15217/issn1684-8853.2016.6.25.

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42

Ai, Bo, Ruisi He, Zhangdui Zhong, Ke Guan, Binghao Chen, Pengyu Liu, and Yuanxuan Li. "Radio Wave Propagation Scene Partitioning for High-Speed Rails." International Journal of Antennas and Propagation 2012 (2012): 1–7. http://dx.doi.org/10.1155/2012/815232.

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Radio wave propagation scene partitioning is necessary for wireless channel modeling. As far as we know, there are no standards of scene partitioning for high-speed rail (HSR) scenarios, and therefore we propose the radio wave propagation scene partitioning scheme for HSR scenarios in this paper. Based on our measurements along the Wuhan-Guangzhou HSR, Zhengzhou-Xian passenger-dedicated line, Shijiazhuang-Taiyuan passenger-dedicated line, and Beijing-Tianjin intercity line in China, whose operation speeds are above 300 km/h, and based on the investigations on Beijing South Railway Station, Zhengzhou Railway Station, Wuhan Railway Station, Changsha Railway Station, Xian North Railway Station, Shijiazhuang North Railway Station, Taiyuan Railway Station, and Tianjin Railway Station, we obtain an overview of HSR propagation channels and record many valuable measurement data for HSR scenarios. On the basis of these measurements and investigations, we partitioned the HSR scene into twelve scenarios. Further work on theoretical analysis based on radio wave propagation mechanisms, such as reflection and diffraction, may lead us to develop the standard of radio wave propagation scene partitioning for HSR. Our work can also be used as a basis for the wireless channel modeling and the selection of some key techniques for HSR systems.

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43

Smulders, P. F. M. "Geometrical optics model for millimetre-wave indoor radio propagation." Electronics Letters 29, no. 13 (1993): 1174. http://dx.doi.org/10.1049/el:19930785.

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44

Yu Song Meng, Yee Hui Lee, and Boon Chong Ng. "Investigation of Rainfall Effect on Forested Radio Wave Propagation." IEEE Antennas and Wireless Propagation Letters 7 (2008): 159–62. http://dx.doi.org/10.1109/lawp.2008.922052.

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45

Casciato, Mark D., Shadi Oveisgharan, and Kamal Sarabandi. "Radio wave propagation in the presence of a coastline." Radio Science 38, no. 5 (October 2003): n/a. http://dx.doi.org/10.1029/2002rs002696.

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46

Savage, Nick, David Ndzi, Andrew Seville, Enric Vilar, and John Austin. "Radio wave propagation through vegetation: Factors influencing signal attenuation." Radio Science 38, no. 5 (October 2003): n/a. http://dx.doi.org/10.1029/2002rs002758.

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47

Mikhailovskii, A. I., and I. M. Fuks. "Shadowing of sea surface at grazing radio-wave propagation." Radiophysics and Quantum Electronics 37, no. 11 (November 1994): 875–81. http://dx.doi.org/10.1007/bf01057275.

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48

Cameron, T. G., R. A. D. Fiori, E. M. Warrington, A. J. Stocker, T. Thayaparan, and D. W. Danskin. "Characterization of high latitude radio wave propagation over Canada." Journal of Atmospheric and Solar-Terrestrial Physics 219 (August 2021): 105666. http://dx.doi.org/10.1016/j.jastp.2021.105666.

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49

Bokoyo Barandja, Vinci de Dieu, Bernard Zouma, Auguste Oscar Mackpayen, Martial Zoungrana, Issa Zerbo, and Dieudonné Joseph Bathiebo. "Propagation of Electromagnetic Wave into an Illuminated Polysilicon PV Cell." International Journal of Antennas and Propagation 2020 (January 30, 2020): 1–7. http://dx.doi.org/10.1155/2020/6056712.

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The increasing cohabitation between telecommunication antennas generating electromagnetic waves and solar panels poses the problem of interaction between these radio waves and solar cells. In order to study the effect of radio waves on the performance of a polycrystalline silicon solar cell in a three-dimensional approach, it is necessary to assess the attenuation of the radio wave in the illuminated polysilicon grain and also to find the expressions of its components. This work investigated the attenuation of radio waves into a polycrystalline silicon grain by analyzing, firstly, the behaviour of the penetration length of the radio waves into the polysilicon grain and secondly, the behaviour of the attenuation factor. The propagation of the radio waves into the polycrystalline silicon grain can be considered without attenuation that can be neglected.

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50

Yang and Stavrou. "Rigorous coupled-wave analysis of radio wave propagation through periodic building structures." IEEE Antennas and Wireless Propagation Letters 3 (2004): 204–7. http://dx.doi.org/10.1109/lawp.2004.833709.

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