基于压缩感知的水声传感网络通信方法.

Current research mainly focuses on the case that a single sensor node sends data, and the transmission efficiency is low. Using multiple sensor nodes to send data at the same time can improve the transmission efficiency, but there is interference between user' s data. Compressed sensing (CS) theory is applied to underwater acoustic sensor networks. A large-capacity cooperative communication method was proposed to realize simultaneous transmission of data by multiple nodes. Using the sparse characteristics of sensor nodes, simultaneous transmission of data from multiple source nodes is equivalent to the measurement process in CS. It is proved that the transmission characteristics of multiple nodes can satisfy the restricted isometry property ( RIP) in the CS theory. The destination node can recover the data of multiple concurrent sensor nodes by the reconstruction algorithm. [ABSTRACT FROM AUTHOR]