Loss Exponent Modeling for the Hilly Forested Region in the VHF Band III

Jawhly, Thaisa; Tiwari, Ramesh Chandra

doi:10.1029/2020rs007201

Cited by 5 publications

(4 citation statements)

References 41 publications

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“…We obtained P t (dBW EIRP) = 32.2 dB. Then as described in [15], when the isotropic received signal (E) is in dBµV/m, and the effective transmitted power is P t , we can translate these values into propagation losses using (2).…”

Section: Methodsmentioning

confidence: 99%

“…Comparing the proposed and Perez models [6] showed that the two models have slightly different prediction curves, as shown in Figure 4. We evaluated the models using 182.25 and 203.25 MHz signal measurement data presented in [15]. The antenna height for the first frequency is 32 m while the latter is 40 m, both measured with a 1.8 m mobile antenna height over a span of 64 km.…”

Section: A Performance Analysismentioning

confidence: 99%

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Simple VHF and UHF Propagation Loss Model

Jawhly

Tiwari

2023

IEEE Commun. Lett.

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Empirical propagation loss models play a crucial role in a wireless communication system with their costeffectiveness and simplicity. In this letter, we present a mathematical characterization of the Federal Communication Commission (FCC) F(50,50) curve for the Very High Frequency (VHF) and the Ultra High Frequency (UHF) band. The proposed empirical model is based on a novel step-wise curve fitting t he FCC signal strength data. The F(50,50) model is intended for the TV broadcasting system and has been employed effectively in different literary works. Following this, we proposed a simple mathematical expression applicable to a 100 km distance with antenna height ranging from 30 to 300 m. The results showed that the proposed mathematical formulation agreed well with the F(50,50) curve data. Furthermore, the model presented is straightforward and can readily be implemented in VHF and UHF signal loss calculation requiring minimal input parameters.

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Section: Methodsmentioning

confidence: 99%

Section: A Performance Analysismentioning

confidence: 99%

Simple VHF and UHF Propagation Loss Model

Jawhly

Tiwari

2023

IEEE Commun. Lett.

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“… Measurement data: ( a ) Rogers et al [ 184 ] (

; ( b ) Hejselbæk et al [ 183 ] (

; ( c ) Jawhly et al [ 182 ] (

; ( d ) Phaiboon et al [ 132 ] (

; ( e ) Azevedo et al [ 138 ] (

; ( f ) Azevedo et al [ 189 ] (

. …”

Section: Figurementioning

confidence: 99%

A Critical Review of the Propagation Models Employed in LoRa Systems

Azevedo,

Mendonça

2024

Sensors

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LoRa systems are emerging as a promising technology for wireless sensor networks due to their exceptional range and low power consumption. The successful deployment of LoRa networks relies on accurate propagation models to facilitate effective network planning. Therefore, this review explores the landscape of propagation models supporting LoRa networks. Specifically, we examine empirical propagation models commonly employed in communication systems, assessing their applicability across various environments such as outdoor, indoor, and within vegetation. Our investigation underscores the prevalence of logarithmic decay in most empirical models. In addition, we survey the relationship between model parameters and environmental factors, clearing their nuanced interplay. Analyzing published measurement results, we extract the log-distance model parameters to decipher environmental influences comprehensively. Drawing insights from published measurement results for LoRa, we compare them with the model’s outcomes, highlighting successes and limitations. We additionally explore the application of multi-slope models to LoRa measurements to evaluate its effectiveness in enhancing the accuracy of path loss prediction. Finally, we propose new lines for future research in propagation modelling to improve empirical models.

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“…Where c represents the electromagnetic wave propagation speed (approximate speed of light). The unit of d is km, the unit of f is MHz (Jawhly & Chandra, 2021).…”

Section: Rician K-factormentioning

confidence: 99%

Millimeter Wave Spatial Statistical Channel Model for High-altitude Military UAV Battlefield Situation Awareness

Yang

Pan³

2023

Preprint

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A high-altitude military UAV air-to-ground scenario model is established for the battlefield scenario without base station, the MIMO antenna array technology is used to improve the channel communication performance, and the spatial statistical channel model (SSCM) of this scenario is constructed in this paper. According to the simulation results, the dependence of the channel on T-R separation distance, frequency, rain rate and antenna HPBW parameters was investigated, the large-scale fading and small-scale fading characteristics was analyzed. By calculating and analyzing the condition number and rank of the channel transmission matrix, the spatial multiplexing under different MIMO antenna arrays was investigated. The simulation results can provide a theoretical basis for future high-altitude military UAV battlefield situation awareness frequency selection and antenna design.

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Loss Exponent Modeling for the Hilly Forested Region in the VHF Band III

Cited by 5 publications

References 41 publications

Simple VHF and UHF Propagation Loss Model

Simple VHF and UHF Propagation Loss Model

A Critical Review of the Propagation Models Employed in LoRa Systems

Millimeter Wave Spatial Statistical Channel Model for High-altitude Military UAV Battlefield Situation Awareness

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