A new channel estimator for fast start-up equalization

A novel noniterative algorithm is proposed for estimating the sampled impulse response of unknown channels. With the proper choice of the training sequence, implementation of the proposed channel estimator requires only additions and subtractions, i.e. no multiplications of the estimator is so simple that it can be easily implemented using an ordinary microprocessor with minimal storage. The channel estimate can serve to reduce the effects of intersymbol interference either by the maximum likelihood sequence estimator using the Viterbi algorithm or by channel equalization with a direct solution to obtain the optimum equalizer taps. A new procedure for the latter case is proposed using the Levinson-Trench algorithm for fast start-up of adaptive equalizers in noisy environments. The performance of the proposed algorithm is evaluated through simulation, and it is compared to some previous techniques. Computational efficiency is also taken into account. The results of the simulation show the superiority of the proposed scheme