Abstract
This paper is oriented to the wireless sensor network (WSN) application scenario in the railway transit environment, focusing on the large amount of signal transmission and data processing requirements required, making full use of the advantages of compressed sensing (CS), combined with existing mainstream compressed sensing technology such as Subspace Pursuit (SP). The technique of Multiple SP Joint Recovery Based on Signal Correlation (SC-USP) algorithm for a specific type of data signal is proposed. Finally, the simulation analysis shows the superiority of SC-USP in similar algorithms and application scenarios.
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