Yang, K.; Guo, X.; Wu, Z.; Wu, J.; Wu, T.; Zhao, K.; Qu, T.; Linghu, L.
Using Multi-Source Real Landform Data to Predict and Analyze Intercity Remote Interference of 5G Communication with Ducting and Troposcatter Effects. Remote Sens. 2022, 14, 4515.
https://doi.org/10.3390/rs14184515
AMA Style
Yang K, Guo X, Wu Z, Wu J, Wu T, Zhao K, Qu T, Linghu L.
Using Multi-Source Real Landform Data to Predict and Analyze Intercity Remote Interference of 5G Communication with Ducting and Troposcatter Effects. Remote Sensing. 2022; 14(18):4515.
https://doi.org/10.3390/rs14184515
Chicago/Turabian Style
Yang, Kai, Xing Guo, Zhensen Wu, Jiaji Wu, Tao Wu, Kun Zhao, Tan Qu, and Longxiang Linghu.
2022. "Using Multi-Source Real Landform Data to Predict and Analyze Intercity Remote Interference of 5G Communication with Ducting and Troposcatter Effects" Remote Sensing 14, no. 18: 4515.
https://doi.org/10.3390/rs14184515
APA Style
Yang, K., Guo, X., Wu, Z., Wu, J., Wu, T., Zhao, K., Qu, T., & Linghu, L.
(2022). Using Multi-Source Real Landform Data to Predict and Analyze Intercity Remote Interference of 5G Communication with Ducting and Troposcatter Effects. Remote Sensing, 14(18), 4515.
https://doi.org/10.3390/rs14184515