Inverse Model of Channel (Equalizer)

In channel equalization applications, the original signal distorted by the channel is used as the input to an adaptive filter, with the desired signal being a time-delayed version of the original signal, as shown in Figure 22(a). Typically, the time-delayed version of the input signal is available at the receiver end in the form of a standard training signal. When the Mean Square Error (MSE) is minimized, it indicates that the adaptive filter has successfully represented the inverse model of the channel (equalizer). Implementation typically involves configuring the adaptive filter with appropriate tap weights and using algorithms like LMS or RLS for iterative optimization.