Path Loss Channel Model for Inland River Radio Propagation at 1.4 GHz
In this paper, a propagation path loss model for inland river is proposed by three improvements compared with the Round Earth Loss (REL) model for open-sea environment. Specifically, parameters optimization uses Okumura-Hata model in dB scale to replace the equation transformed from the free space l...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2017/5853724 |
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| _version_ | 1832561058060959744 |
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| author | Junyi Yu Wei Chen Kun Yang Changzhen Li Fang Li Yishui Shui |
| author_facet | Junyi Yu Wei Chen Kun Yang Changzhen Li Fang Li Yishui Shui |
| author_sort | Junyi Yu |
| collection | DOAJ |
| description | In this paper, a propagation path loss model for inland river is proposed by three improvements compared with the Round Earth Loss (REL) model for open-sea environment. Specifically, parameters optimization uses Okumura-Hata model in dB scale to replace the equation transformed from the free space loss in REL model; secondly, diffraction loss caused by the obstacles (e.g., large buildings, bridges, or some other facilities near the river bank) is also taken into account; mixed-path methodology as another improvement is used for Inland River (IR) model because the actual propagation environment between transmitter (TX) antenna and receiver (RX) antenna contains both land part and water part. The paper presents a set of 1.4 GHz measurements conducted along the Yangtze River in Wuhan. According to the comparison between path loss models and experimental results, IR model shows a good matching degree. After that, Root Mean Square Error (RMSE), Grey Relation Grade and Mean Absolute Percentage Error (GRG-MAPE), Pearson Correlation Coefficient, and Mean Absolute Percentage Error (PCC-MAPE) are employed to implement quantitative analysis. The results prove that IR model with consideration of mixed path and deterministic information is more accurate than other classic empirical propagation models for these scenarios. |
| format | Article |
| id | doaj-art-2e6ab71b426645dea326aff36dec9a5e |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-2e6ab71b426645dea326aff36dec9a5e2025-02-03T01:26:02ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772017-01-01201710.1155/2017/58537245853724Path Loss Channel Model for Inland River Radio Propagation at 1.4 GHzJunyi Yu0Wei Chen1Kun Yang2Changzhen Li3Fang Li4Yishui Shui5School of Automation, Wuhan University of Technology, Wuhan, Hubei 430070, ChinaSchool of Automation, Wuhan University of Technology, Wuhan, Hubei 430070, ChinaSuper Radio AS, Oslo, NorwaySchool of Automation, Wuhan University of Technology, Wuhan, Hubei 430070, ChinaSchool of Automation, Wuhan University of Technology, Wuhan, Hubei 430070, ChinaSchool of Information Engineering, Wuhan University of Technology, Hubei 430070, ChinaIn this paper, a propagation path loss model for inland river is proposed by three improvements compared with the Round Earth Loss (REL) model for open-sea environment. Specifically, parameters optimization uses Okumura-Hata model in dB scale to replace the equation transformed from the free space loss in REL model; secondly, diffraction loss caused by the obstacles (e.g., large buildings, bridges, or some other facilities near the river bank) is also taken into account; mixed-path methodology as another improvement is used for Inland River (IR) model because the actual propagation environment between transmitter (TX) antenna and receiver (RX) antenna contains both land part and water part. The paper presents a set of 1.4 GHz measurements conducted along the Yangtze River in Wuhan. According to the comparison between path loss models and experimental results, IR model shows a good matching degree. After that, Root Mean Square Error (RMSE), Grey Relation Grade and Mean Absolute Percentage Error (GRG-MAPE), Pearson Correlation Coefficient, and Mean Absolute Percentage Error (PCC-MAPE) are employed to implement quantitative analysis. The results prove that IR model with consideration of mixed path and deterministic information is more accurate than other classic empirical propagation models for these scenarios.http://dx.doi.org/10.1155/2017/5853724 |
| spellingShingle | Junyi Yu Wei Chen Kun Yang Changzhen Li Fang Li Yishui Shui Path Loss Channel Model for Inland River Radio Propagation at 1.4 GHz International Journal of Antennas and Propagation |
| title | Path Loss Channel Model for Inland River Radio Propagation at 1.4 GHz |
| title_full | Path Loss Channel Model for Inland River Radio Propagation at 1.4 GHz |
| title_fullStr | Path Loss Channel Model for Inland River Radio Propagation at 1.4 GHz |
| title_full_unstemmed | Path Loss Channel Model for Inland River Radio Propagation at 1.4 GHz |
| title_short | Path Loss Channel Model for Inland River Radio Propagation at 1.4 GHz |
| title_sort | path loss channel model for inland river radio propagation at 1 4 ghz |
| url | http://dx.doi.org/10.1155/2017/5853724 |
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