Acquisition Method of Direct Sequence Spread Spectrum Signal Based on Deep Residual Network

In order to improve the ability of network host to collect spread spectrum signals and accurately deduce the sequence of signal parameters, a direct sequence spread spectrum signal acquisition method based on deep residual network is proposed. The data information is rendered in the depth residual network, and the loss function model is defined through training processing, so as to realize the signal sequence modeling based on the depth residual network. On this basis, the pseudo-random sequence code is determined, and the direct acquisition of the sequence pseudo-code is completed according to the pseudo-code acquisition result of the spread spectrum signal. The experimental results show that the application of deep residual network can greatly enhance the ability of network host to collect spread spectrum signals, and meet the practical application requirements of accurately deriving the expression of signal parameter sequence.