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Mean-square error of any estimation procedure can be bounded below by the Cramer-Rao lower bound (CRLB) [23].
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If the error of the estimation is small, then we accept the estimates as valid.
The CRB provides a lower bound of the mean square error of the angle estimation by any unbiased estimator.
It is based on approximating the true gradient of the squared error of estimation by its instantaneous estimate.
Fig. 13 RMS error of amplitude estimation.
The resulting standard error of CU estimation was 3.09%.
The error of VTEC estimation is ~1 1.5 TECU.
Histogram tool to examine RMS error of amplitude estimation.
The constructed observer could guarantee the error of state and the error of parameter estimation to asymptotically converge to zero.
In addition to the graphics, a table of the summary of the error estimation and relative error of the estimation is also provided (see Table 1).
This figure shows the mean square error of the estimation as a function of kernel times.
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