Improving the Signal-to-Noise Ratio on Terahertz Compressive Imaging
2020 Cross Strait Radio Science & Wireless Technology Conference (CSRSWTC)(2020)
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.
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Key words
Terahertz imaging,compressive sensing,signal-to-noise ratio improvement
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