Research on DSSS Signal Capture Method Based on Compressed Sensing

Inhalt:
In order to improve the acquisition probability based on compressed sensing, an optimization algorithm is proposed. At the same time, the algorithm model solves the problems of large computation and resource consumption of traditional algorithms to a certain extent. The direct sequence spread spectrum(DSSS)signal is sparsely represented by orthogonal basis matrix, and then denoised by high-pass filter. On this basis, a compression sensing capture model is constructed to compress the signal. Finally, the DSSS signal is reconstructed and captured by alternating direction method of multipliers (ADMM) parallel algorithm. In this algorithm, a filter is added to the compressed sensing model to reduce noise and improve the acquisition probability of the system. The signal is reconstructed by ADDM parallel structure, and the compressed sensing problem is divided into several independent sub-problems to solve in parallel, which reduces the computation of the algorithm. Experimental results show that the algorithm is feasible and correct.