Contrasting the relative performance of RF photonic transversal signal processors based on microcombs using discrete components versus integrated devices
David J. Moss

TL;DR
This paper compares the performance of RF photonic transversal signal processors based on microcombs, highlighting differences between discrete and integrated implementations and analyzing factors affecting their accuracy.
Contribution
It provides the first comprehensive comparison of microcomb-based RF photonic processors using discrete versus integrated components, including performance analysis and future prospects.
Findings
Integrated processors show different accuracy levels compared to discrete ones.
Tap number and component response significantly affect processing performance.
Future improvements could enhance the capabilities of microcomb-based RF photonic processors.
Abstract
RF photonic transversal signal processors, which combine reconfigurable electrical digital signal processing and high-bandwidth photonic processing, provide a powerful solution for achieving adaptive high-speed information processing. Recent progress in optical microcomb technology provides compelling multi-wavelength sources with compact footprint, yielding a variety of microcomb-based RF photonic transversal signal processors implemented by either discrete or integrated components. Although operating based on the same principle, processors in these two forms exhibit distinct performance. This letter presents a comparative investigation into their performance. First, we compare the performance of state-of-the-art processors, focusing on the processing accuracy. Next, we analyze various factors that contribute to the performance differences, including tap number and imperfect response…
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