 |
Using the VPI verification system, we can get the transmitting data and the receiving data. For the proposed RC equalization method, transmitting data is regarded as the ground truth, while the receiving data is regarded as the distorted signal. In the training phase, RC works as a black box to find the relationship between the transmitting data and the receiving data. For RC can only handle the real number, each complex receiving data is divided into a column vector by concatenating its real part and imaginary part. These operation is also used in the transmitting data. Half of the transmitting data are utilized in the training phase. Input scaling of Win, spectral radius of W, and leaking rate ес, and the regularization coefficient are four main hyper parameters to optimize the performance of the RC, thus these parameters are finely tuned in the train process of RC by using the grid search. In the test phase, transmitting data is injected to the state upgrade equation stepwise to get the corresponding reservoir state. By multiplying the Wout obtained in the training phase, we can get the predicted transmitting signal. |
IEEE/ICACT20210147 Slide.10
[Big Slide]