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In this paper we propose the application of spatial decomposition methods for improving the prediction accuracy of linear regression models when used for establishing radio environment maps through large-scale pathloss estimation. We discuss two basic decomposition schemes, namely square and radial decomposition, and apply them in a reference scenario for a high-power TV transmitter. Our results show...
Localization errors can play an important role in measurements of radio propagation or spectrum utilization, especially in urban environment where GPS localization accuracy is highly varying. In this paper we present a low cost and simple method for mitigating the impact of localization errors, based on multiple GPS receivers. The presented results are based primarily on performance evaluation of...
In this demonstration we show an approach for constructing radio environment maps from massive data sets. Unlike earlier approaches, the methods used in the demonstrator can scale to millions of measurement points, enabling coverage prediction and other spatial estimation problems to be solved at country-wide scales. The demonstrator GUI enables attendees to construct different types of simulated...
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