Class ArmaRssiFilter

  • All Implemented Interfaces:
    RssiFilter

    public class ArmaRssiFilter
    extends Object
    implements RssiFilter
    This filter calculates its rssi on base of an auto regressive moving average (ARMA) It needs only the current value to do this; the general formula is n(t) = n(t-1) - c * (n(t-1) - n(t)) where c is a coefficient, that denotes the smoothness - the lower the value, the smoother the average Note: a smoother average needs longer to "settle down" Note: For signals, that change rather frequently (say, 1Hz or faster) and tend to vary more a recommended value would be 0,1 (that means the actual value is changed by 10% of the difference between the actual measurement and the actual average) For signals at lower rates (10Hz) a value of 0.25 to 0.5 would be appropriate
    • Constructor Detail

      • ArmaRssiFilter

        public ArmaRssiFilter()