Determination of DVB-T2 Signal Quality in Nigeria: A Case Study of Jos, Plateau State, Nigeria

Igbonoba, E. E. C.; Omoifo, O.

doi:10.4314/njt.v40i1.12

Cited by 5 publications

(5 citation statements)

References 3 publications

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“…The Deviser E8000A spectrum analyzer measured the strength of the received signal (dBmdecibel milliwatts). For the adoption of the specified ITU norms, the ITU's recommendations for field measurement, necessary equipment and settings were followed (Igbonoba and Omoifo, 2021). This was done to make sure that field measurements made in broadcasting using a spectrum analyzer would be highly stable and relative precise.…”

Section: Materials and Measuring Proceduresmentioning

confidence: 99%

Signal propagation curve for digital television broadcast network in Nigeria

Endurance Chukwuemeke,

Temitope

2023

IJE

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In order to create a signal propagation curve that will show signal degradation and describe the spread of digital signal strength for radio scientists and engineers, this study analyses the signal propagation curve of the digital terrestrial television broadcasting (DTTB) network in Jos, Plateau State, Nigeria. The goal of the study was to create a DTTB propagation curve for the Nigerian DTTB broadcast network's planning and execution. Received signal strength (RSS) was used as the primary measured parameter throughout the study in a measurement-based performance analysis. In route A, the signal strength declined to little over half of its starting value, according to the result analysis, however in route B, the decrease was not quite as great. The results of this research will help radio scientists and engineers better understand radio wave propagation, channel estimate and equipment design on the UHF band. In path loss computation and modeling, this can also assist in forecasting the power received or lost at a specific distance from the transmitter.

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Section: Materials and Measuring Proceduresmentioning

confidence: 99%

Signal propagation curve for digital television broadcast network in Nigeria

Endurance Chukwuemeke,

Temitope

2023

IJE

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“…The Deviser E8000A spectrum analyzer assessed received signal strength and field strength (dBµV/m, or decibel microvolts per metre) (dBmdecibel milliwatts). ITU recommendations on field measurement, pertinent equipment, and settings specified in (Igbonoba and Omoifo, 2021) were followed to adopt specified ITU regulations. This was done to ensure high stability and relative precision when using a spectrum analyzer to conduct field measurements in broadcasting.…”

Section: (C) Dttb Tertiary Coverage Area Fringementioning

confidence: 99%

Investigative Assessment of the Impact of Perturbations on the Digital Terrestrial Television Broadcasting Signal

Igbonoba¹,

Bankole²

2023

KJSET

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This study examines the effects of perturbations on the digital terrestrial television broadcasting (DTTB) signal in Jos, Plateau State, Nigeria, using measurement-based performance analysis. In order to examine the effects of environmental perturbations on DTTB signal, measurement campaign used the Nigerian Television Authority, Integrated Television Services (ITS) digital video broadcasting -second generation (DVB-T2) signal. The aim of the research was to identify the environmental and atmospheric perturbations with highest impact on DTTB signal. Field measurement was accurately obtained throughout the measurement campaign using the E8000 series spectrum analyzer, a DVB-T2 receiver, and other facilities in order to actualize the two important measurement characteristics, such as field strength and received signal strength (RSS). The outcome showed a significant amount of dips in route A, depriving towns surrounding rocky hills of a DVB-T2 signal, as demonstrated in the Du community with RSS values of -87.1 dBm, 85.2 dB , and -27.8 dB V/m, -23.9 dB V/m for field strength. Additionally, the results show that signal performance was better in the dry season compared to the rainy season (more primary coverage in the dry season compared to the rainy season), with the RSS value being -41.6 dBm versus -36.4 dBm and the field strength value being 34 dB/m versus 38.6 dB/m for route A, or the same on route B. Solving signal propagation issues requires understanding the fundamental metrics driving an increase in perturbations in any broadcast environment. Creating a model to address these issues will help with system evaluation, network planning, and broadcast service operation, ensuring quality of service (QoS).

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“…The global television broadcasting system is undergoing considerable structural and technical changes [1]. Customers today have better access to television communication services and other media services than ever before.…”

Section: Introductionmentioning

confidence: 99%

“…The Nigerian Television Authority (NTA) television signals, like any other radio and television signal, have areas of weak signal reception. Some of these problems are not due to the station's technical deficit, but rather due to natural or man-made phenomena such as forests, hills, mountains, equipment, and others [1,7,11]. In contrast to audio signals, visual signals react significantly to these natural and artificial factors, which make viewers uncomfortable because they mostly do not enjoy the signal received in this way.…”

Section: Introductionmentioning

confidence: 99%

“…Television signal strength is likely to be affected by these environmental conditions, among other factors. Therefore, for more appropriate planning and accurate design of television broadcasting networks, the effects of ground conductivity and increased vegetation on signal strength should be properly taken into account, particularly in the region where such networks are being deployed [1,4]. This study intends to develop a path loss model for radio wave signals on selected routes in Enugu State, Nigeria, given the unique climatic conditions and terrain features of the study locations.…”

Section: Introductionmentioning

confidence: 99%

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Development of a Path Loss Model for Radio Wave Signals for some Selected Routes in Enugu State, Nigeria

2023

JJP

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This research focuses on developing a path loss model for radio wave signals propagating in a wavelength range of 0.37–6.12 m along some selected routes in Enugu state, Nigeria. A cable television signal strength meter was used to measure signal strength at 2 km intervals along the routes. The television signals examined were those from NTA Enugu. Path loss values were derived from the received signal strength for each route. The path loss obtained was plotted against the distance and the result shows that the path loss increases with the distance along each of the routes. A path loss model was developed by analyzing the path loss variation with distance. The path loss values obtained from the developed model were plotted against the distance and compared with the measured path losses for the NTA signals to assess how accurate the model is for the path loss prediction at the study locations. Some statistical tools (RMSE, ME, and SDE) were used to validate the developed model. The model predicted the path loss of NTA-Enugu signals with RMSE very close to zero (0). In addition, the values of the developed path loss model for the NTA signals were compared with the values of other empirical models. The results show that the other empirical path loss models overestimate the path loss of NTA-Enugu signals. Keywords: Nigeria Television Authority (NTA), Path loss, Radio waves, Signal strength, Terrestrial television, Ultra High Frequency (UHF). PACs: 84.40.Ua.

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Determination of DVB-T2 Signal Quality in Nigeria: A Case Study of Jos, Plateau State, Nigeria

Cited by 5 publications

References 3 publications

Signal propagation curve for digital television broadcast network in Nigeria

Signal propagation curve for digital television broadcast network in Nigeria

Investigative Assessment of the Impact of Perturbations on the Digital Terrestrial Television Broadcasting Signal

Development of a Path Loss Model for Radio Wave Signals for some Selected Routes in Enugu State, Nigeria

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