I'm trying working on a vehicle modle and testing it with steering maneuvres standardised by the ISO. When it comes to data analysis the ISO standard says the following:
6.4 Time lag and Sine Time lag
The time lags between the variables steering wheel angle, yaw velocity, lateral acceleration, etc. are calculated for the first and second peak by cross- correlation of the first and second halfwaves respectively.
So i looked up the definition of the cross-correlation on Wikipedia. The definition says the TAU is the lag itself. So how do i calculate the lag using the "cross-correlation the first and second halfwaves" when the crosscorrelation needs the lag to be calculated?
PS: I tagged this as convolution, because there is no cross-correlation tag and this seemed to be the closest thing to me. Feel free to re-tag if wrong.
EDIT:
Okay I'll try to explain a little more: The maneuvre of the ISO standard is a driving maneuvre with a one-period sinusoid Steeringwheelangle input (so i guess the halfwaves are the half periods of the sinusoid output). Now i made simulations with this maneuvre and want to analise the data the way that the standard is telling me to. What i quoted you there is all the information, that the standard provides at this place. But yes, i guess they are talking about the delay between the beginning of like steering input and the beginning of the raise of the yaw velocity for example. That's what i should calculate via the cross correlation.