feed forward equalizer matlab

By not resetting after each packet, the equalizer retains tap weights from training prior packets. A subsystem block enables you to select between linear or decision feedback equalizers that use the least mean square LMS or recursive least square RLS adaptive algorithm. If the input signal is a vector of length greater than 1, then the input delay is relative to the start of the input vector. For linear and decision-feedback equalizer structures, the choice of LMS, RLS, or CMA determines the algorithms that are used to set the tap weights and perform the error calculation. For the CMA adaptive algorithm, in the previous schematic, w is the vector of all weights w i , and u is the vector of all inputs u i.

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