Independent Component Analysis (ICA) is a computational technique used in signal processing and data analysis to separate a multivariate signal into additive, independent components. The goal of ICA is to find a linear transformation of the observed data such that the resulting components are statistically independent from each other. In other words, ICA aims to uncover the underlying sources or factors that contribute to the observed data by assuming that the sources are statistically independent.
We demonstrate, for the first time, real-time blind source separation of interfering GHz transmitters using photonic weights controlled by an RF-System-on-Chip FPGA. This analog system achieves multi-antenna signal separation with millisecond execution latency.
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NEC Laboratories America, Inc. (NEC Labs) is the US-based center for NEC Corporation’s global network of corporate research laboratories. Our diverse research groups collaborate with industry, academia and governments to provide disruptive solutions to complex problems. A leader in the integration of IT and network technologies with more than 100 years of expertise, NEC provides a combination of products and solutions that cross-utilize the company’s experience and global resources to meet the complex and ever-changing needs of its customers.