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Also, the accuracy of mode matching is also evaluated.
In this paper, a method of mode matching is proposed for subspace identification methods.
We see from the table that the rate of best mode matching is clearly improved by the neighbor extension.
However, most of these applications may operate in split modes, as mode matching is usually conducted open loop.
A step of mode matching is also added into the procedure to find out the corresponding mode from all the estimated modes (shown in Figure 1).
The importance of mode matching is to ensure the correctness of the estimates, i.e., the estimated mode should correspond to the mode of interest.
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The proposed mode matching method is used to match the modes with the ones of interest, and the results of mode matching are shown in Table 8.
However, the numerical mode matching method is shown to be the fastest method, significantly outperforming an equivalent analytic technique.
The proposed mode matching method is used to find out the modes corresponding to the ones of interest.
This sheds light on the fact that even by aggregation model, the mode matching method is still effective.
Then, an efficient full-wave analysis based on the mode matching technique is carried out, leading to a tenth order all-pole filter design.
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