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Radio signal non-linear spatial variations complex analysis with geospatial technologies and radio propagation modeling implication

Keywords:

A.F. Korolev, A.A. Potapov, A.V. Turchaninov


The article covers basic principles of radio signal non-linear spatial variations complex analysis with geospatial technologies and radio propagation modeling implication. The results of high resolution experimentally determined (in 1 km2 densely built-up urban area) 100 MHz signal non-linear spatial pattern analysis using geographic information system (GIS) is presented. The experimental data shown high level of radio frequency electromagnetic field (RF EMF) inhomogeneity with maximum variation range of ≈ 60 dB within surveyed area and local variations of 5 dB magnitude with spatial swing range between 50…150 and 200…300 meters inside the experimental extent. Versatile geographic information systems functions for RF EMF spatial pattern and field inhomogeneity analysis are discussed. With GIS implementation an area's amplitude-gradient spatial signature (AGSS) can be determined. An AGSS of a territory is an unique characteristic which simultaneously depends on technical parameters of operating radio signal transmitters and radiowave propagation environment specific features. Quantitative parameters of area's amplitude-gradient spatial signature can be derived from experimentally determined radio signal's amplitude and local-gradient digital spatial georeferenced patterns. AGSS's characteristics experimental verification with appropriate inspection equipment and software can be considered as a new method of complex spatially-distributed radiomonitoring for populated areas. This new method can be implemented for both wireless communication and broadcasting regulations control and electromagnetic safety standards inspection in vicinity of radio transmitters with regard to local population wellbeing. The article also covers the results of ray optics method of radio propagating modeling creation. The method is embedded in GIS environment and can use radiotechnique terrain-based models for radio propagation prediction. Experimental verification of the method's root mean square error shown that 100 MHz field level error amounted to 4…5 dB in shaded areas behind buildings with ray diffraction predominance; 5…7 dB in areas with full or partial visibility of the transmitting antennas and 7…9 dB in areas with ray reflections predominance. This radio propagation modeling method can be also used for AGSS's quantitative parameters experimental verification procedure optimization. The results presented in the workshop significantly expand the field of geospatial technologies and methods application. The latter are implemented in applied radiophysics research – radio propagation modeling, radiotechnique terrain-based models creation, development of new methods of experimental radiomonitoring and the environment's electromagnetic safety assessment.
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