This letter proposes a new iterative ISI equalization algorithm that offers
low computational complexity: order L-2 with channel memory length L. The
proposed algorithm is an extension of Reynolds and Wang's SC/MMSE (Soft Can
celer followed by MMSE filter) equalizer: approximations are used properly
to reduce the computational complexity. It is shown that the approximations
used in the proposed algorithm do not cause any serious performance degrad
ations from the trellis-based iterative equalization algorithms.