Exact(2)
To minimize the variance of the response estimator in response surface methodology (RSM -based siM -basedsimulationsrs extend the design points to the limost of the susersion undextendestheation.
There are two key issues for the kernel-based regularization method: one is how to design a suitable kernel to embed in the kernel the prior knowledge of the LTI system to be identified, and the other one is how to tune the kernel such that the resulting regularized impulse response estimator can achieve a good bias variance tradeoff.
Similar(58)
The known frequency response estimators H1, H2, Hr (H3) and Hv are motivated, compared and the systematic estimation errors are computed.
In addition, generalized parameter frequency response estimators are proposed.
Contrary to existing kernel-based impulse response estimators, a frequency domain approach is adopted.
A way of deriving generalized parameter frequency response estimators will be introduced in this paper.
Three different types of frequency response estimators are considered and compared with each other with respect to the inherent resolution bias errors.
As shown in Figure 2, the channel estimator firstly performs channel frequency response estimation at pilot subcarriers.
Next, once the channel frequency response estimation at pilot subcarriers,, is obtained, the estimator performs interpolation to obtain channel frequency response estimation at all subcarriers.
The third paper, "DFT-based channel estimation with symmetric extension for OFDMA systems," presents a partial frequency response channel estimator for OFDMA systems.
It leads to the unbiased finite impulse response (UFIR) estimator [6].
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