public class SelfCalibratedModel : SmoothedLinearModel

Extension of SmoothedLinearModel to include self-calibration

  • Assume minimum and average distance between people for entire population is similar over time (e.g. weeks and months).
  • Experiments have shown advertised TX power for all test phones are similar while the measured RSSI by different phones differs at the same distance.
  • Normalisation of measured RSSI value is required to bring all receivers to a common range, and then use the minimum and median value to determine the intercept and coefficient.
  • Histogram normalisation is enabled by a long term histogram of all measured RSSI values by a device.
  • Use social norm to set minimum and mean distance between people, then set time duration within minimum and mean distance to derive percentiles for self-calibration based on observed values.