Research on Data Fusion Technology Based on Compressed Sensing

Abstract

First introduce a traditional compressed sensing data fusion technique, and aiming at the shortcoming of traditional method, a compressed sensing data fusion technology based on temporal-spatial correlation is put forward. Then modeling on the proposed data fusion technique, improve the CS reconstruction algorithm and present the iterative threshold reconstruction algorithm based on temporal-spatial correlation. With the synthetic signals as the research objects, experiments show the effectiveness of the algorithm, further proving that it has obvious improvement for the proposed data fusion technology to reduce the network load and save the network energy.