Intelligent reflecting surface assisted wireless calculation imaging method based on deep learning

The invention discloses a deep learning-based intelligent reflector-assisted wireless computing imaging method, which comprises the following specific steps of: performing feature extraction on a received signal of a base station by using an intelligent reflector phase prediction deep neural network to obtain an intelligent reflector phase prediction result; reconstructing the target sensing area by using the target sensing area detection convolutional neural network to obtain a one-dimensional target scattering coefficient estimation sequence of the target sensing area; and performing post-processing on the one-dimensional target scattering coefficient estimation sequence to obtain a three-dimensional pixel estimation sequence, namely realizing computational imaging of the target sensing area. According to the wireless calculation imaging method assisted by the intelligent reflecting surface based on deep learning, high-dimensional data can be effectively processed under the assistance of the intelligent ref