Linear Equalizers Weights For linear equalizers, the weights of the equalizer are set to achieve minimum error between the equalized signal and the original input signal. First, a training sequence is sent as input, and the weights that achieve the minimum error between the equalized and the original training sequence are obtained. My question is:


In case of non-adaptive equalizers, are the weights obtained for the training sequence used for any other input signals?
In case of adaptive equalizers, how the weights are updated according to the new input signals? The error should be minimized between the equalized signal and what? There is no known sequence in this case.
The error should be minimized between the equalized signal and what? There is no known sequence in this case.


But there is: if the channel is still good enough so you can decode a packet successfully, you can reconstruct the original signal by simply re-encoding the packet.