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RF-ImagingNet: Spintronic RF Neural Front-Ends for Embedded Microwave Sensing

Objective

Active microwave sensing probes biological tissue, walls or soil with safe, easy-to produce non-ionising waves. It could enable cheap, portable scanners for medical and field inspection applications with fast on-site diagnosis. But current systems rely on wideband digitisation and heavy digital processing, making them too bulky, slow, and power-hungry to be embedded. RF-ImagingNet shifts the sensing-computing boundary by performing the first inference step directly in the radio-frequency (RF) domain during acquisition, so that only a low-rate decision output is digitised. By processing frequency-dependent RF signals before sampling, the approach reduces data movement and relaxes ADC and compute requirements.
Building on recent results showing that spintronic devices can act as programmable frequency-selective RF synapses, we will integrate an RF neural layer with a compact active sensor (2 transmitters, 2 receivers, 1-9 GHz) and demonstrate direct target detection and classification from microwave measurements on hidden objects, without first reconstructing a full image. Objectives are sub-10 ms end-to-end latency
and near-digital decision accuracy (<2% degradation) on the selected tasks. Energy benefits will be assessed at the architecture level by quantifying the avoided cost of wideband digitisation, data movement and digital inference.
The RF neural front-end can operate either as a stand-alone decision sensor or as a preprocessor that triggers full imaging only when needed, reducing duty cycle and limiting raw data storage and transmission. The Proof of Concept will deliver a reproducible demonstrator, quantified benchmarks, and an exploitation package including foreground IP assessment and early adopter feedback from industrial stakeholders.

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Programme(s)

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Topic(s)

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HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) ERC-2026-POC

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Host institution

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 150 000,00
Address
RUE MICHEL ANGE 3
75794 Paris
France

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Region
Ile-de-France Ile-de-France Paris
Activity type
Research Organisations
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

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Beneficiaries (1)