Self Mode Frequency Hopping

This parameter enables the frequency hopping feature for self mode. Frequency hopping is applied to prevent noise in a given frequency band from corrupting the measurement by aggregating the data from 4 different conversion frequencies with the multi frequency processing (MFP) algorithm.

Implementation Notes

When enable this feature, each element is measured at four different conversion frequencies to gather more data in the presence of noise. The algorithm is then applied to the four raw measurements. The output of the algorithm is a single, composite measurement and a noise level. The composite measurement is then used by the higher levels of the library just like a raw sample normally would. The noise level is used to update each element’s filtered noise level.

There are three possible conversion styles for frequency hopping:

Standard conversion: each time cycle is measured once.

Multi-frequency conversion: each time cycle is measured at 4 frequencies and the composite result is the average of the 4 frequencies

Multi-frequency conversion with outlier removal: each time cycle is measured at 4 frequencies and the composite result is the average of the 4 frequencies after the largest outlier is removed from the data set.

Affected Software Parameters
Selecting this option sets the CAPT_SELF_MODE_CONVERSION_STYLE compile-time noise immunity definition in the CAPT_UserConfig.h file to eMultiFrequencyWithOutlierRemoval when source code is generated.