A 3D imaging method for future communication and imaging integrated terminal

The frequency band of 5G communication system has already reached the lower end of millimeter wave, and 6G may step into terahertz in the future. 3D tomography synthetic aperture imaging using manual intelligent terminal system may become a reality. However, 3D tomography is faced with the problem of sparse and non-uniform elevation sampling. This paper presents a 3D imaging method for near-field targets with sparse and non-uniform sampling. Firstly, echo model based on frequency modulated continuous wave (FMCW) is established, then the non-negligible errors caused by stop-and-go propagation assumption is compensated. The next step is 2D imaging of each baseline using frequency-domain BP. Finally, the tomography algorithm is performed on the 2D BP results pertaining the multiple baselines. For the sparse and non-uniform sampling situations and the unknowability of real scene, the Bayesian Compressed Sensing (BCS) algorithm is applied for reconstruction. The effectiveness of the method is verified by real data processing.