Effect of Humidity on Tropospheric Received Signal Strength (RSS) in Ultra-High Frequency (UHF) Band

Mat, Roshidah; Sabri, Nor Hazmin; Umar, Roslan; Sabri, Ahmad; Zafar, Sharifah Nurul Aisyah Syed; Omar, Azman; Mustafa, Wan Azani

doi:10.1088/1742-6596/1529/4/042048

Cited by 6 publications

(5 citation statements)

References 3 publications

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“…25 MHz and concluded that radio signals have an inverse relationship with the meteorological variables mentioned, with a correlation value of -0.94, -0.92, and -0.96. In [5], the authors report a negative correlation between RSS and relative humidity for frequencies 382.5 MHz, 945 MHz, 1867.5 MHz, and 2160 MHz with correlation values ranging from -0.382 to -0.805. The authors in [6] find that the increase in atmospheric temperature will lead to a decrease in the strength of the signal.…”

Section: Background and Related Workmentioning

confidence: 99%

Weather-Based Nonlinear Regressions for Digital TV Received Signal Strength Prediction

Stefanovic,

Malnar,

Mladenovic

et al. 2024

ELEKTRON ELEKTROTECH

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In this research, the impact of various weather conditions on digital television signals is investigated. Machine learning and nonlinear regression models were used to estimate the strength of the received signal. The received signal strength might vary significantly depending on the weather condition, especially in higher frequency ranges or millimetre wavelengths. Predictive analysis was performed for the radio-relay link Aval Tower-Vršac Hill, which is used for the distribution of television and radio programmes by the public company Broadcasting Technology and Connections in Serbia. The prediction was made using temperature, temperature index, relative humidity, and received signal strength data for the months of June, July, and August in 2022. The best results were obtained using the RandomForest model. Extreme variations in the strength of the received signal can be predicted by using the model mentioned above. More effective management of the broadcasting infrastructure can be done with the ability to predict sudden falls and fluctuations in received signal strength.

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Section: Background and Related Workmentioning

confidence: 99%

Weather-Based Nonlinear Regressions for Digital TV Received Signal Strength Prediction

Stefanovic,

Malnar,

Mladenovic

et al. 2024

ELEKTRON ELEKTROTECH

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“…Studies have been carried out by several researchers to explore the effect of atmospheric elements on radio waves [28][29][30][31][32][33][34][35][36], but the results and conclusions have been contradictory. Some research studies claim that relative humidity is the main factor while others claim that temperature is the dominating factor [37][38][39][40].…”

Section: Original Research Articlementioning

confidence: 99%

Tropospheric Influence on Low-band Very High Frequency (VHF) Radio Waves

Ekah

Obi

Ewona

2022

AJARR

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The objectives of this study are to understudy the effects of temperature and relative humidity on low-band VHF signals, obtain a propagation model for signal transmission over Calabar and to ascertain the suitability of the free space propagation model for the study terrain. Results obtained shows that temperature and relative humidity has no effect on low-band VHF signals. The suitability of the free space propagation model for the study terrain failed, as calculated results underestimated path losses in the study area. Multiple regression analysis was used to obtain a suitable propagation model for the study terrain. However, since the studied meteorological variables has no effect on low-band VHF signals in the study area, the measured path losses could be attributed to foliage, hills, distance away from the transmitter and other components of the study terrain in which the signal is propagated.

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“…Humidity causes the air to become more conductive by altering its electrical properties, positively affecting RF signal strength (Luomala and Hakala, 2015). However, excessive humidity causes the air to increase its water content, causing the signals to collide with these water droplets, negatively impacting RF signals and causing them to weaken (Amajama, 2016; Mat et al , 2020). Signal power reductions have been observed with a relative humidity increase of 40% to 100% (Ukhurebor and Umukoro, 2018).…”

Section: Introductionmentioning

confidence: 99%

The impacts of the wind on GPS of quadrotors

Ercan¹,

Ulucan²

2023

AEAT

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Purpose The Global Positioning System (GPS) is crucial for determining the positions of quadrotors, enabling safe flight and maintaining stability against environmental conditions. This study aims to investigate the effect of wind on the GPS of quadrotors experimentally. Design/methodology/approach This experimental study was conducted using an F450 frame, 980 kV motors and a Pixhawk flight controller to manage the quadrotor’s flight. To investigate the effects of wind on the quadrotor’s GPS during flight, a Pixhawk 4 Holybro flight controller was used. The experimental tests were performed on a predetermined route at different wind speeds. Findings Analysis of the data obtained from the flight tests showed that GPS signals were more affected as the wind speed increased. The percentage of GPS jamming levels reached 18% at high wind speeds. Practical implications Positioning services will be even more critical for quadrotors, which are expected to be used more frequently in public areas. This study is expected to be a reference for GPS-related research. Originality/value Winds pose a significant threat to the safe flight of quadrotors in many ways. This study experimentally investigates the effects of wind on the GPSs of quadrotors and to what extent it affects them at different wind speeds under real weather conditions. The obtained data shows that wind has a significant impact on GPS jamming.

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Effect of Humidity on Tropospheric Received Signal Strength (RSS) in Ultra-High Frequency (UHF) Band

Cited by 6 publications

References 3 publications

Weather-Based Nonlinear Regressions for Digital TV Received Signal Strength Prediction

Weather-Based Nonlinear Regressions for Digital TV Received Signal Strength Prediction

Tropospheric Influence on Low-band Very High Frequency (VHF) Radio Waves

The impacts of the wind on GPS of quadrotors

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