This ensures we are not computing a biasedĬorrection due to having the receive device oriented in a particularly strong The following is a partial list of variations of situations we try to collect: Situations, with each yielding an additional RSSI value that is averaged with We repeat each of the RSSI values described above under each of these Situations to capture the range of values that could be experienced by a user. Test environment (all measurements should be collected at roughly the sameĮach RSSI value represents an average taken across multiple variations of.Distance between transmitter and receiver.Physical transmitting device and its orientation.The following is a partial list of test setup parameters that must be heldĬonstant for RSSI measurements sharing a common reference transmitter: Transmitter, we compute under conditions where the test setup remains as As for computing the RSSIs that rely on a common reference We compute RSSIs relying on measurements of ref1 and ref2 taken fromĭifferent sources. Pixel4) + AVG_RSSI(ref2 -> pixel4) - AVG_RSSI(ref2 -> device) Computation of RSSIs Rssi_correction(device) = AVG_RSSI(ref1 -> iphone) - AVG_RSSI(ref1 -> WeĬompute the RSSI Correction as follows, where ref1 and ref2 represent The RSSI Correction is a single bias number for each Android device. We compute the RSSI Correction and the transmit power using separate equations RSSI Correction and transmission power calculation The calibration corrections rely on manual data collection covered in the What a typical iPhone would report if transmitting at the same power.įor details on how these values are then used by the Exposure Notifications The transmit power is computed to report for each Android device equivalent to.What a typical iPhone device would report for the same transmitter at the same The RSSI correction is computed such that the received strength is equal to.Transmit power for each Android device, as follows: We do this byĬomputing the received signal strength indicator (RSSI) correction and the This document describes how Exposure Notifications Bluetooth Low Energy (BLE)Ĭorrection values are computed for individual Android devices.
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