Research Article
Acquisition Method of Direct Sequence Spread Spectrum Signal Based on Deep Residual Network
@INPROCEEDINGS{10.1007/978-3-031-50543-0_12, author={Jia Pan}, title={Acquisition Method of Direct Sequence Spread Spectrum Signal Based on Deep Residual Network}, proceedings={Advanced Hybrid Information Processing. 7th EAI International Conference, ADHIP 2023, Harbin, China, September 22-24, 2023, Proceedings, Part I}, proceedings_a={ADHIP}, year={2024}, month={3}, keywords={Deep residual network Direct sequence Spread spectrum signal Data rendering Signal training Loss function Pseudo-random sequence code}, doi={10.1007/978-3-031-50543-0_12} }- Jia Pan
Year: 2024
Acquisition Method of Direct Sequence Spread Spectrum Signal Based on Deep Residual Network
ADHIP
Springer
DOI: 10.1007/978-3-031-50543-0_12
Abstract
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.
