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Therefore, due to the reduction of the number of estimated signals, an increased accuracy of the input estimation is achieved.
Overall, good instantaneous target altitude estimation is achieved.
The load estimation is achieved in an indirect manner.
The reliability estimation is achieved by an improved first-order reliability algorithm.
Additionally, robust rank-two Hessian estimation is achieved by adaptation of Powell's damped BFGS update rule.
Parameter estimation is achieved using a recursive least-squares-type algorithm, namely a controlled-trace algorithm.
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The deviation properties of the estimation were achieved theoretically, which reveals that both the estimating variances of SFO and timing drift are in inverse proportion to signal-to-noise ratio and grow linearly by the number of total subcarrier.
Therefore, consistent feature selection and parameter estimation are achieved simultaneously.
In this study, one-step parameter estimation was achieved using code available in MATLAB [35].
We demonstrate that both state and unknown-inputs estimation are achieved up to arbitrarily small tolerance.
The most accurate estimation was achieved with the marker combination of n-alkanes and LCOH with a correction for FR.
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