Nonlinear EM-based Signal Processing
Mattia Fabiani, Giulia Torcolacci, Davide Dardari

TL;DR
This paper explores innovative electromagnetic signal processing architectures using passive nonlinear elements to perform over-the-air processing, reducing system complexity and RF chain requirements in large antenna systems.
Contribution
It introduces novel EM domain architectures with passive nonlinear elements for multifunctional signal processing directly over-the-air, a new approach in scalable wireless systems.
Findings
Significant reduction in system complexity and RF chains.
Effective over-the-air direction-of-arrival and position estimation.
Potential for scalable, low-power wireless solutions.
Abstract
The use of high-frequency bands, combined with antenna arrays containing an extremely large number of elements (XL-MIMO), is pushing current technology to its limits in terms of hardware complexity, latency, and power consumption. A promising approach to achieving scalable and sustainable solutions is to shift part of the signal processing directly into the electromagnetic (EM) domain. In this paper, we investigate novel architectures that harness the interaction of reconfigurable passive linear and nonlinear (NL) scattering elements positioned in the reactive near field of signal sources. The objective is to enable multifunctional linear and NL EM signal processing to occur directly "over-the-air." Numerical results highlight the potential to significantly reduce both system complexity and the number of RF chains, while still achieving key performance metrics in applications such as…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDirection-of-Arrival Estimation Techniques · Antenna Design and Analysis · Energy Harvesting in Wireless Networks
