用于红外干涉测量中信号串扰消除的独立成分分析
Independent Component Analysis for Signal Crosstalk Elimination in Infrared Interferometry
AI总结：
本文针对红外干涉仪中因信号耦合导致的通道间串扰问题，提出利用Independent Component Analysis有效消除串扰耦合，并显著提高信号的信噪比。
摘要：
红外干涉仪是可以通过测量折射率变化来测量光程差的光学器件。可以部署多种配置，从单通道器件到多通道双色外差干涉仪。这类器件通常用于恢复聚变等离子体的空间电子密度分布。该过程涉及精确测量中频的相位差。影响测量的一个误差源是由于信号耦合到干涉仪的不同通道而出现的串扰。当探测频率彼此接近时，信号间的通道耦合极难消除。本文表明，Independent Component Analysis能有效消除此类器件中的通道间串扰耦合。此外，还展示了使用该技术时信噪比如何得到显著提高。
英文摘要：
Infrared interferometers are optical devices that can measure optical path-length differences by measuring changes in the refractive index. Several arrangements can be deployed, from single channel devices to multichannel double color heterodyne interferometers. These type of devices are typically used to recover the spatial electron density profile of fusion plasmas. This process involves measuring precisely the phase differences of the intermediate frequencies. A source of error that affects the measurements is the crosstalk that appears due to the coupling of the signals into the different channels of the interferometers. The inter-channel coupling of the signals is extremely difficult to eliminate specially when the probing frequencies are close to each other. In this paper it is shown that Independent Component Analysis effectively eliminates inter-crosstalk coupling in such devices. Furthermore, it is shown how the Signal-to-Noise ratio is dramatically increased when this technique is used.
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