A High Sensitivity Terahertz Imaging System Based on Compressed Sensing

Terahertz superconducting detector has high sensitivity but it's difficult to achieve high-efficiency for large-scale observation with a single detector. To fully improve efficiency and resolution, a high sensitivity terahertz imaging system designed using compressive sensing (CS) principles was proposed in this paper, which uses a single superconducting detector replacing complex and high-cost array detector. With a random selection from linear encoded masks, the proposed imaging system acquired enough incoherent measurements using a 0.85THz superconducting detector. A regularized fr-nurm reconstruction method was employed to reconstruct the imaged scene with fewer measurements compared to the size of the image. Experimental results demonstrated that the proposed imaging system could achieve the improvement of imaging efficiency and resolution.