石墨烯谐振式力学量传感器研究进展

传统谐振式传感器的谐振敏感元件大多采用金属、石英晶体、硅等材料制成,但随着谐振式传感器朝着小型化、微型化、实用化的趋势发展,不但要求新型谐振子材料可进行微纳加工,还对其灵敏度和精度提出了更高的要求.石墨烯这种新型二维纳米材料,因具有出色的力学、电学、光学、热学特性,在谐振传感领域有着巨大的应用潜力和研究价值,因此基于石墨烯材料的力学量传感器有望在小型化、高性能和环境适应性等多方面超越硅基力学量传感器.本文针对石墨烯谐振式力学量传感器,介绍了石墨烯材料的基本性质、制备与转移方法,阐述了谐振式传感器的工作原理与应用特点,进而分析了关于石墨烯谐振特性优化与谐振器制备的理论与实验研究;在此基础上,重点总结了石墨烯谐振器在压力、加速度、质量等传感器领域的研究进展,梳理了石墨烯谐振式力学量传感器在薄膜转移、结构制备与激振/拾振等方面的技术问题,同时也明确了石墨烯在谐振传感领域的研究价值和发展潜力.     

Calibration and data restoration of light field modulated imaging spectrometer

A light field modulated imaging spectrometer(LFMIS) can acquire the spatial-spectral datacube of targets of interest or a scene in a single shot. The spectral information of a point target is imaged on the pixels covered by a microlens.The pixels receive spectral information from different spectral filters to the diffraction and misalignments of the optical components. In this paper, we present a linear spectral multiplexing model of the acquired target spectrum. A calibration method is proposed for calibrating the center wavelengths and bandwidths of channels of an LFMIS system based on the liner-variable filter(LVF) and for determining the spectral multiplexing matrix. In order to improve the accuracy of the restored spectral data, we introduce a reconstruction algorithm based on the total least square(TLS) approach. Simulation and experimental results confirm the performance of the spectrum reconstruction algorithm and validate the feasibility of the proposed calibrating scheme.