多变量光子学的演示：用模拟集成光子学进行盲降维
Demonstration of multivariate photonics: blind dimensionality reduction with analog integrated photonics
摘要：
多天线无线电前端产生多维信息洪流，其中大部分是部分冗余的。通过降维消除了冗余，但是当代数字处理技术在实现这类函数时面临着苛刻的基本权衡。这些权衡可以在模拟域中被打破，在模拟域中，光学技术的性能大大超过电子技术。在这里，我们提出的概念，方法和多元光子学的第一个演示：集成的光子硬件，模拟降维，盲算法技术的组合。我们实验证明2通道，1.0 GHz的主成分分析在光子权重银行使用最近提出的算法，用于合成的接收机是盲目的信号的多变量特性。介绍了在实验室环境中控制失明状况的新方法。这项工作为进一步研究多元光子信息处理提供了基础，这将在未来几代无线技术中发挥作用。
英文摘要：
Multi-antenna radio front-ends generate a multi-dimensional flood of information, most of which is partially redundant. Redundancy is eliminated by dimensionality reduction, but contemporary digital processing techniques face harsh fundamental tradeoffs when implementing this class of functions. These tradeoffs can be broken in the analog domain, in which the performance of optical technologies greatly exceeds that of electronic counterparts. Here, we present concepts, methods, and a first demonstration of multivariate photonics: a combination of integrated photonic hardware, analog dimensionality reduction, and blind algorithmic techniques. We experimentally demonstrate 2-channel, 1.0 GHz principal component analysis in a photonic weight bank using recently proposed algorithms for synthesizing the multivariate properties of signals to which the receiver is blind. Novel methods are introduced for controlling blindness conditions in a laboratory context. This work provides a foundation for further research in multivariate photonic information processing, which is poised to play a role in future generations of wireless technology.
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