Abstract
Picocell antennas are used to improve wireless communication coverage inside an area. More picocell antennas are being used to cover small areas, thus, increasing the radiofrequency radiation (RFR) levels in an indoor environment. One method in estimating the radiofrequency radiation is by using spatial interpolation techniques. This study assessed the robustness of a localized deterministic spatial interpolation method compared to its global interpolation counterpart used in generating a radiofrequency radiation map. This was investigated to speed up the data analysis by taking a smaller number of samples. An omnidirectional picocell antenna located in an office lobby area was chosen. The NARDA Selective Radiation Meter SRM-3000TM with tri-axis antenna was used to check the central frequency and average power density emitted by the antenna. A radiofrequency map was generated using a small sample size in a grid pattern. The local Shepard interpolation method with a radius of influence of 100 cm and a power factor of 1 gives a result with a mean absolute difference lower than the global interpolation method. Thus, error contribution in RFR map generation can be minimized by considering a smaller region of samples in the interpolation.
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