Measurement and Statistical Analysis of Distinguishable Multipaths in Underground Tunnels
Compared with the line-of-sight (LOS) condition, the multipath effect is more serious in the non-line-of-sight (NLOS) condition. Therefore, the LOS and NLOS identification is necessary for the multipath analysis of signal propagation. The commonly used method is the support vector machine (SVM) meth...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2020/2501832 |
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| author | Junchang Sun Shuai Ma Hui Zhou Chun Du Shiyin Li |
| author_facet | Junchang Sun Shuai Ma Hui Zhou Chun Du Shiyin Li |
| author_sort | Junchang Sun |
| collection | DOAJ |
| description | Compared with the line-of-sight (LOS) condition, the multipath effect is more serious in the non-line-of-sight (NLOS) condition. Therefore, the LOS and NLOS identification is necessary for the multipath analysis of signal propagation. The commonly used method is the support vector machine (SVM) method with high computational complexity. To tackle this problem, this paper adopts the SVM classifier based on fewer selected features of the normalized power delay profile (PDP). Therein, the PDP can be obtained using the sliding correlation method. The results show that the SVM-based classifier can achieve high accuracy on LOS and NLOS identification. We then analyze the impact of the signal-to-noise ratio (SNR) and transmitting-receiving (Tx-to-Rx) distance on distinguishable multipaths under LOS and NLOS conditions. According to statistical measurement results, a function of distinguishable multipath numbers is established. Finally, we investigate the multipath power and delay parameters of average delay spread and root mean square (RMS) delay spread based on multipath results. The outcomes of this paper provide a useful support for analyzing signal propagation characteristics. |
| format | Article |
| id | doaj-art-43a66b3d46a843fb84293eea9e99b46a |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-43a66b3d46a843fb84293eea9e99b46a2025-02-03T01:28:25ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772020-01-01202010.1155/2020/25018322501832Measurement and Statistical Analysis of Distinguishable Multipaths in Underground TunnelsJunchang Sun0Shuai Ma1Hui Zhou2Chun Du3Shiyin Li4School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaCompared with the line-of-sight (LOS) condition, the multipath effect is more serious in the non-line-of-sight (NLOS) condition. Therefore, the LOS and NLOS identification is necessary for the multipath analysis of signal propagation. The commonly used method is the support vector machine (SVM) method with high computational complexity. To tackle this problem, this paper adopts the SVM classifier based on fewer selected features of the normalized power delay profile (PDP). Therein, the PDP can be obtained using the sliding correlation method. The results show that the SVM-based classifier can achieve high accuracy on LOS and NLOS identification. We then analyze the impact of the signal-to-noise ratio (SNR) and transmitting-receiving (Tx-to-Rx) distance on distinguishable multipaths under LOS and NLOS conditions. According to statistical measurement results, a function of distinguishable multipath numbers is established. Finally, we investigate the multipath power and delay parameters of average delay spread and root mean square (RMS) delay spread based on multipath results. The outcomes of this paper provide a useful support for analyzing signal propagation characteristics.http://dx.doi.org/10.1155/2020/2501832 |
| spellingShingle | Junchang Sun Shuai Ma Hui Zhou Chun Du Shiyin Li Measurement and Statistical Analysis of Distinguishable Multipaths in Underground Tunnels International Journal of Antennas and Propagation |
| title | Measurement and Statistical Analysis of Distinguishable Multipaths in Underground Tunnels |
| title_full | Measurement and Statistical Analysis of Distinguishable Multipaths in Underground Tunnels |
| title_fullStr | Measurement and Statistical Analysis of Distinguishable Multipaths in Underground Tunnels |
| title_full_unstemmed | Measurement and Statistical Analysis of Distinguishable Multipaths in Underground Tunnels |
| title_short | Measurement and Statistical Analysis of Distinguishable Multipaths in Underground Tunnels |
| title_sort | measurement and statistical analysis of distinguishable multipaths in underground tunnels |
| url | http://dx.doi.org/10.1155/2020/2501832 |
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