PIPELINED DFE ARCHITECTURES USING DELAYED COEFFICIENT ADAPTATION

In this paper the delayed least-mean-square (DLMS) algorithm is propos ed for training a transversal filter-based decision feedback equalizer (DPE). Delays in the filter coefficient update process are used to pi peline the DFE, thereby increasing the throughput rate, for a given sp eed of hardware. The filter structures selected for the feedforward an d feedback section of the DFE facilitate the use of a shared error sig nal, thereby reducing communication costs. The new resulting structure is highly modular and is very suitable for very large scale integrati on (VLSI) implementation. A pipelined form for the normalized least-me an-square algorithm (NMLS) is also obtained which removes the dependen cy of the convergence speed on the input signal power, The convergence and residual mean-square-error characteristics of the different pipel ined filters are compared.