The application discloses a kind of
wireless computing imaging methods of intelligent reflecting surface assisted based on
deep learning, specific steps are as follows: the received
signal of
base station is extracted using intelligent reflecting
surface phase prediction deep neural network, and intelligent reflecting
surface phase prediction result is obtained;Target
perception area is reconstructed using target
perception area detection
convolutional neural network, and one-dimensional target
scattering coefficient estimation sequence of target
perception area is obtained;One-dimensional target
scattering coefficient estimation sequence is post-processed, and three-dimensional pixel
estimation sequence is obtained, that is, the computing imaging of target perception area is realized.The
wireless computing imaging method of intelligent reflecting surface assisted based on
deep learning proposed in the application can not only effectively process high-dimensional data under the assistance of intelligent reflecting surface, ensure high-accuracy imaging under the background of
big data, but also can automatically extract key features in image or
signal, improve the accuracy of imaging.