Introduction to RF Propagation
By J. Seybold. 2005
810 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/954c84b362ccfa75514ba28baea84ff845d4ea43
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- K. Niotaki
- Zhenghua Chen
- Ana Collado
- Apostolos T. Georgiadis
- Qingchang Zhu
- Hao Jiang
- Han Zou
- Y. C. Soh
Citations in the corpus
- Ambient RF Energy-Harvesting Technologies for Self-Sustainable Standalone Wireless Sensor Platforms (2014, background): “…loss ðLÞ of the radiated wave from the base station in decibels without wave diffraction can be expressed as L ¼ F þ 18 log 17h þ R 2 17h (1) F ¼ 4R 0 2 (2) where F is the free space path loss, h is the height of the source, R is the distance from the RF source, and 0 is the wavelength [10].”
- Internet of Things (IoT) for Smart Precision Agriculture and Farming in Rural Areas (2018, methodology): “The ITU recommended a model for fog or cloud attenuation which is valid up to 200 GHz [29].”
- A Survey of Wireless Path Loss Prediction and Coverage Mapping Methods (2013, methodology): “…are made at this distance, and those values are used to fi t a slope: 3) Ground Re fl ection: As a modest extension to the free-space path loss model, the Two-Ray Ground Re fl ection model considers a second path that re fl ects from the ground between the transmitter and receiver [71], [79], [68].”
- A Wireless Sensor Network Deployment for Rural and Forest Fire Detection and Verification (2009, background): “This equation states that the received signal power, in dBm, is equal to the transmitted power plus the transmitter and receiver gain, minus the basic loss and minus other losses produced by objects (such as trees or humidity) [18].”
- Fusion of WiFi, Smartphone Sensors and Landmarks Using the Kalman Filter for Indoor Localization (2015, methodology): “Assume st is the RSS of the router i at time step t, then, based on signal propagation model in [5], we obtain:”