Photonic Multi-beam Beamforming Technology enabling Radar/Lidar Multisensor Fusion platforms for Aerospace and Automated Driving applications

HORIZON.2.4HORIZON-RIAID: 101093013
EC Contribution
โ‚ฌ49,959
Consortium Size
10 orgs
โ–ถSummary

PARALIA will enable an agile, low-cost, and energy-efficient multi-sensor combining Radar and Lidar technologies will re-architect the sensors ecosystem, upgrading their capabilities and enabling ultra-high resolution at ultra-long distances crucial for current and futuristic automotive and aerospace applications. To this end, a common Lidar/Radar optical multibeam beamforming platform will be developed based on the best-in-class multi-port linear optical Xbar architecture previously used for neuromorphic applications. For its implementation, PARALIA will utilize hybrid InP-SiN integration while leveraging a tight integration of InP components in multi-element arrays and the advances in SiN PZT optical phase shifters with ฮผs-reconfiguration time, and low power consumption < 1uW. To demonstrate the universality of the developed optical multi-beam platform number of Lidar and Radar will be developed:i) Two multibeam Lidar modules featuring 120 degrees horizontal field of view (FOV) and 30 degrees vertical FOV and supporting 8 and 64 independent beams with 64 independent beams, based on 8 wavelengths - 8x8 XBar architecture. ii) Two multibeam Radar modules operating at K- and E- band for aerospace and automotive industries respectively. Both radar modules feature 120 degrees Vertical and Horizontal FOVs and support 8 independent beamsiii) A multisensor module combining the Radar and Lidar modules with a processing unit employing a fusion ML algorithm developed to acquire and process the information coming from the multiple beams of the multi-sensor greatly enhancing its range and resolution.

Consortium (10)

Project Results (12)

Source: CORDIS, the EU research results database.

โ–ถPublications (8)
A Crossbar-based coherent silicon photonic MIMO processor for wireless communications
OFC Conference 2025ยท 2025
S. Kovaios, M. Vargemidou, C. Vagionas, R. Maximidis, A. Tsakyridis, M. Moralis-Pegios, A. Miliou, N. Pleros
Field Trial of a SDN-Controlled, Hybrid FiWi FSO/mmWave X-Haul With Zero-Touch Handovers and Record-High Data Rate for 6G
Journal of Lightwave Technologyยท 2025DOI
Maria Vargemidou, Chris Vagionas, Argyris Kokkinis, Argiris Ntanos, Aristeidis Stathis, Panagiotis Kourelias, Giannis Giannoulis, Hercules Avramopoulos, Kostas Siozios, Nikos Pleros, Amalia Miliou
Flat Emission Silicon Nitride Grating Couplers for Lidar Optical Antennas
Photonicsยท 2025DOI
Thenia Prousalidi, Georgios Syriopoulos, Evrydiki Kyriazi, Roel Botter, Charalampos Zervos, Giannis Poulopoulos, Dimitrios Apostolopoulos
Optical Multibeam Beamformer Based on XBAR Architecture
42nd European Space Agency (ESA) Antenna Workshopยท 2024
R. Maximidis et.al.
An Integrated Multi-beam Optical Beamformer Architecture with Beam-Shaping Capabilities
2023 European Conference on Optical Communication (ECOC)DOI
S. Kovaios, et.al.
Flat emission grating couplers design enabling optical antennas for high performance LIDAR systems
SPIE Photonics Europe 2024DOI
T. Prousalidi, et.al.
MIMO Signals Processing Utilizing Optical Crossbar Linear Operator
EUCAP 2024 18th European Conference on Antennas and PropagationDOI
R. Maximidis, et.al.
Multi-beam Optical Beamformer PICs for LiDAR and RADAR Applications
International Conference on Transparent Optical Networks, ICTON 2024
D. Ketzaki et.al.
โ–ถDeliverables (3)
โ–ถOther Results (1)
Periodic Reporting for period 2 - PARALIA (Photonic Multi-beam Beamforming Technology enabling Radar/Lidar Multisensor Fusion platforms for Aerospace and Automated Driving applications)