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On the Crucial Impact of Antennas and Diversity on BLE RSSI-Based Indoor Localization Proceedings of the 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring) Kuala Lumpur, Malaysia. Schulten H., Kuhn M., Heyn R., Dumphart G., Trosch F., Wittneben A. Impact of antenna pattern modeling errors on RSSI-based DOA estimation Proceedings of the 2017 International Workshop on Antenna Technology: Small Antennas, Innovative Structures, and Applications (iWAT) Athens, Greece.
Wohler M., Hartmann M., Nowak T., Heuberger A. Impact of the dihedral angle of switched beam antennas in indoor positioning based on RSSI Proceedings of the 2014 11th European Radar Conference Rome, Italy. Maddio S., Passafiume M., Cidronali A., Manes G. A Comparative Study of RSSI-Based Localization Methods: RSSI Variation Caused by Human Presence and Movement. Wattananavin T., Sengchuai K., Jindapetch N., Booranawong A. An important advantage of the presented solution is the adjustment of the localization system accuracy at the assumed level of energy radiated by radio emitters based on the RSSI signal received power estimation.Īutomatic transmitter power control (ATPC) indoor localization received signal strength indicator (RSSI) short range devices (SRD) wireless radio sensors. This paper presents an adaptive power control algorithm for a transmitter, as a reference emitter, operating in power-saving mode. In the issue of determining the location of radio emitters, various radio signal propagation models are used to determine the effective range and distance of the sensor-receiver from the radio emitter. There are many localization methods that have proven useful in practice and that use a reference radio signal for this purpose. In localization systems based on the emission of reference radio signals, an important issue related to the reliability of sensor operation is the problem of operating time and power of the emitted reference radio signal.
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