Blind equalization of direct sequence spread spectrum communication channels

الملخص EN

In this paper, the problem of blind data demodulation of direct sequence spread spectrum signals for communications over dispersive channels with unknown parameters is considered.

A new algorithm based on the maximum likelihood sequence estimation (MLSE) for joint channel identification and data recovery is proposed.

The proposed algorithm has an advantage in that it is amenable to parallel implementation and is computationally efficient.

Simulations results illustrating the effectiveness of proposed algorithm have been presented.