Polarization-sensitive-metasurface-based microwave computational ghost imaging

Conventional multi-transmitter-based microwave computational ghost imaging (MCGI) systems have suffered from radiation source errors due to the limitation of unit performance in arrays. Radiation source errors can cause inaccuracy of the reference radiation field in MCGI, which will reduce the reconstruction quality of the target image. In this paper, a detailed error analysis of radiation sources in MCGI systems is conducted. The relationships between radiation source errors, reference radiation field and imaging results are determined. Furthermore, to mitigate the influence of radiation source error and other problems in conventional MCGI systems, such as high cost, complex design and implementation, and the interference between array elements, an improved MCGI method based on a broadband polarization-sensitive-metasurface is proposed. The metasurface in this work can modulate the incident signal and distribute the reflected signal randomly in space. Therefore, by changing the polarization angle of the radiation signal, a time-space independent signal is produced, which can achieve better detection effects in the application system. A series of simulations and experiments are performed to validate the analysis results and evaluate the proposed method’s performance. The results show that the target information can be effectively obtained by the proposed method.