Imagine trying to listen to a single whisper in a crowded stadium while someone is blowing a whistle in your ear. This project builds better 'ears' and smarter filters to pick out those tiny signals from space. It also creates a faster way to move and organize that mountain of data so scientists can see clearer pictures of the universe.
Organizations handling massive radio-frequency data struggle with high power consumption, signal interference, and the lack of scalable tools to process data in real-time.
A prototype for high-speed data transport and an open-source toolkit for storing, analyzing, and cleaning large-volume radio data.
If you are a network provider dealing with signal interference in dense urban areas — this project developed RFI mitigation tools that remove noise from radio signals. This allows for clearer communication channels and better signal quality.
If you are a data center dealing with the energy costs of processing massive data streams — this project developed a prototype high-speed data transport system that improves energy efficiency. This reduces the power needed to move and store large-volume data products.
If you are a satellite operator dealing with limited bandwidth and signal sensitivity — this project developed wideband receivers and digital components that improve field-of-view and bandwidth. This enables more precise data capture from orbiting assets.
Based on available project data, no commercial pricing is listed as the project focuses on developing open-source toolkits and common building blocks for research infrastructures.
Yes, the project specifically developed a modular and scalable data processing toolkit designed to handle large-volume data products using commercially available technology.
The project aims to provide a modular and open-source data processing toolkit, suggesting a non-proprietary approach to the software components.
The solutions are designed as 'common building blocks' that can be used for upgrades across various instruments, from single-dish telescopes to global arrays.
The project is active from 2023-03-01 to 2027-02-28, with deliverables including a prototype for high-speed data transport.
The consortium is heavily weighted toward research and academia, with 31 combined university and research partners. However, the inclusion of 5 industry partners (including 3 SMEs) and a 14% industry ratio indicates a clear intent to bridge the gap between theoretical radio astronomy and commercial hardware/software application.
Contact JIV-ERIC in the Netherlands for technical specifications on the data transport prototype.
Contact SciTransfer to identify which of the 5 industry partners holds the specific IP for RFI mitigation.
