Influence of parameters

Smoothing factor (P-AXIS-00784):

The greater the weighting of the current measured value, the lower the filter effect but the faster the reaction to changes in the distance.

Influence of parameters 1:
Different filter effect due to smoothing factor

Number of measured values - n_cycles (P-AXIS-00413):

The more measured values are included in the filter via P-AXIS-00413, the better the smoothing, but the greater the reaction delay involved. The greater the smoothing factor, the smaller the influence of P-AXIS-00413. Also, the influence of P-AXIS-00413 decreases steadily with increasing numbers due to the exponential weighting.

Influence of parameters 2:
Different filter effect with varying n_cycles

Example

Example parameters: Exponentially weighted averaging filter

kenngr.distc.filter_type      EXPO_MEAN # Filter type
kenngr.distc.n_cycles         30        # Number of included measured values
kenngr.distc.smoothing_factor 0.3       # Smoothing factor