Analog Computing with Hybrid Couplers and Phase Shifters
Matteo Nerini, Xuekang Liu, Bruno Clerckx

TL;DR
This paper explores the use of hybrid couplers and phase shifters in microwave networks to perform fast, real-time analog computations of key transformations like DFT, validated through a fabricated prototype.
Contribution
It characterizes the class of linear transformations computable with hybrid couplers and phase shifters and provides systematic design methods for implementing important transforms such as DFT, Hadamard, and Haar.
Findings
Successfully designed a 4x4 DFT analog processor
Prototype measurements closely match theoretical predictions
Demonstrated practical implementation of microwave-based analog computing
Abstract
Analog computing with microwave signals can enable exceptionally fast computations, potentially surpassing the limits of conventional digital computing. For example, by letting some input signals propagate through a linear microwave network and reading the corresponding output signals, we can instantly compute a matrix-vector product without any digital operations. In this paper, we investigate the computational capabilities of linear microwave networks made exclusively of two low-cost and fundamental components: hybrid couplers and phase shifters, which are both implementable in microstrip. We derive a sufficient and necessary condition characterizing the class of linear transformations that can be computed in the analog domain using these two components. Within this class, we identify three transformations of particular relevance to signal processing, namely the discrete Fourier…
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Taxonomy
TopicsDigital Filter Design and Implementation · Advanced Power Amplifier Design · Numerical Methods and Algorithms
