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In the framework of the MKF, an algorithm for delayed estimation is designed for improving the current modal state estimate.
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Past works include improvements based on rate and round trip delay estimation [8, 9].
Therefore, the approach includes three steps: delay estimation, converting delay to geographic distance, and solving the optimization problem.
Theoretical limits for the time delay estimation problem in dispersed spectrum cognitive radio systems are investigated in [3].
The second approach integrates other DOA or delay estimation methods with the MUSIC algorithm, such as [11].
Finally, to demonstrate the effectiveness of the proposed controller, a comparison with classical PID, time delay estimation control, and intelligent PID controller has been performed.
The time-delay estimation can be enhanced by model-based estimators.
Therefore, the purpose of this study is to estimate the uncertainties of vTS values obtained by different time-delay estimation methods based on cross-correlation.
time delay estimation.
A method of delays estimation online is also given.
Delay estimation is a difficult problem in computer networks.
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