This function exercises a filter by using its propagation and observation
functions along with process and measurement noise to produce a true
state over time with noisy measurements. The measurements are passed to
kff
along with the kffoptions
structure defining the filter. The
results are returned/plotted as desired.
All of the inputs are exactly the same as for kffmct
, except that there
is always only a single run, whereas kffmct
produces the results from
multiple runs. Further, unless specified otherwise using the Plots
option, kffsim
only plots the states, measurements, and errors.
Otherwise, kffsim
is a light wrapper of the kffmct
function, where
nr = 1
.
*kf
v1.0.3