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Moreover, to improve the performance of the estimator, the state estimation with a pair of Kalman filter based estimators running in parallel is also proposed.
From the signal processing point of view, to solve the problems of detection and estimation, the minimum variance unbiased (MVU) estimation, least squares (LS) estimation, and minimum mean square error (MMSE) estimation are the most important criterions to evaluate the performance of the estimator.
The performance of the estimator is demonstrated by simulation results.
SINR is used as a criterion to evaluate the performance of the estimator.
However, the frequency uncertainty problem degrades the performance of the estimator.
Since no flexible gain was introduced, the enhancement performance of the estimator was limited.
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To evaluate the performance of the estimators we performed Monte Carlo simulations.
We will here focus on their application to order estimation, investigating the performance of the estimators given the fundamental frequency.
The effect of controller tuning on the performance of the estimator-based control system is explored.
However, the performance of the estimators is different.
Monte Carlo simulations are conducted to evaluate the performance of the estimators.
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