A new channel blind estimation algorithm using the one-step branch transition rules in trellises
Ou Yang Congxing, Wang Lining, Yue Guangxin · 1999
A novel discrete-time digital channel blind estimation sub-optimal algorithm is proposed, which reduces the complexity of the optimal maximum likelihood sequence estimation (MLSE) considerably by using the one-step branch transition rules in trellises, and is suitable for the estimation of the channels with small length of inter-symbol interference (ISI).