Improving the Signal-to-Noise Ratio on Terahertz Compressive Imaging

Abstract

we present a compact terahertz compressive imaging utilizing the vector network analyzer base on the compressive sensing technology. To eliminate the noise from the terahertz imaging system and improve the signal-to-noise ratio of the reconstructed image, we propose a novel compressive sensing methodology, in which the Paley-Hadamard sensing matrix and normalization measurement data algorithm are introduced. From the numerical and experimental results, the anti-noise performance of the proposed methodology is superior to the conventional compressive technology.