JETI Admin2
Abstract
As digital TV evolves, accurately estimating and mapping received power levels is crucial for optimizing signal coverage and ensuring reliable reception. This research employs ordinary kriging methods to predict and visualize digital TV signal strength in Ekiti State, Nigeria, addressing challenges like terrain variations and obstacles. By strategically placing measurement points throughout the region, the study captures received power levels and uses ordinary kriging to estimate signal strength at unmeasured locations, considering spatial autocorrelation and variability.
The study evaluates the suitability of interpolation methods for spatial representation of power data using Mean Error (ME) and Root Mean Squared Error (RMSE) metrics. Implemented with Golden Software Surfer, the ordinary kriging method, particularly with an exponential variogram model, provided the lowest RMSE value (6.0460), indicating the most accurate estimates.
The resulting maps detail the spatial distribution of received power levels, highlighting signal coverage patterns, potential dead zones, and areas with suboptimal reception. This research aids broadcasters, telecommunication authorities, and service providers in network planning and resource allocation, ultimately enhancing the digital TV viewing experience.
References
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