Abstract:I n this paper, a neural network based direct sequence spread spectwm code synchronization system is proposed. This system is based on tmining a recurrent random neuml network (RNN) model on all the possible phases of the used spreading wde. The trained network can then be used at the receiver for the initial worse cslignment of the local code phase and the received code. One advantage of this technique over the conventional synchronization techniques is that the phase of the received PN code can be decided wi… Show more
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