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Signal Amplification Gains of Compressive Sampling for Photocurrent Response Mapping of Optoelectronic Devices

机译:光电器件光电流响应映射的压缩采样的信号放大增益

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摘要

Spatial characterisation methods for photodetectors and other optoelectronic devices are necessary for determining local performance, as well as detecting local defects and the non-uniformities of devices. Light beam induced current measurements provide local performance information about devices at their actual operating conditions. Compressed sensing current mapping offers additional specific advantages, such as high speed without the use of complicated experimental layouts or lock-in amplifiers. In this work, the signal amplification advantages of compressed sensing current mapping are presented. It is demonstrated that the sparsity of the patterns used for compressive sampling can be controlled to achieve significant signal amplification of at least two orders of magnitude, while maintaining or increasing the accuracy of measurements. Accurate measurements can be acquired even when a point-by-point scan yields high noise levels, which distort the accuracy of measurements. Pixel-by-pixel comparisons of photocurrent maps are realised using different sensing matrices and reconstruction algorithms for different samples. The results additionally demonstrate that such an optical system would be ideal for investigating compressed sensing procedures for other optical measurement applications, where experimental noise is included.
机译:光电检测器和其他光电设备的空间表征方法对于确定局部性能以及检测局部缺陷和设备的不均匀性是必需的。光束感应电流测量可提供有关设备在其实际工作条件下的局部性能信息。压缩感测电流映射具有其他特定优势,例如无需使用复杂的实验布局或锁定放大器即可实现高速。在这项工作中,提出了压缩感测电流映射的信号放大优势。已经证明,可以控制用于压缩采样的图案的稀疏性,以实现至少两个数量级的显着信号放大,同时保持或提高测量精度。即使逐点扫描产生高噪声水平,也可能获得准确的测量结果,这会扭曲测量的准确性。使用不同的感测矩阵和针对不同样本的重建算法,可以实现光电流图的逐像素比较。结果还表明,这种光学系统对于研究包含实验噪声的其他光学测量应用的压缩传感程序非常理想。

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