Oxion 2.0 AI-driven RF design tool addresses complex RF layouts and PCB constraints

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Ignion, a Barcelona based IoT antenna developer, has released Oxion 2.0, an AI-driven RF and antenna design tool.

RF design tool supports complex RF layouts Credit: Ignion

Developed to simplify design integration it features Automatic PCB Gerber Review, in which the Oxion 2.0 processes and analyses PCB Gerber files in detail and quickly reports back on integration readiness and optimisation opportunities.

Also new is the embedded AI Assistant which provides expert-level guidance on antenna theory and helps users interpret the reports and optimise their designs. Fully integrated in the desktop environment, the assistant is available in real time to provide instant, actionable insights.

“Building on the powerful performance prediction and interactive design capabilities, the new features of Oxion 2.0 deliver tremendous time savings,” said Aitor Moreno, Cloud Product Manager at Ignion. “Automatic PCB Gerber Review relieves hours of manual design validation, while the AI Assistant gives instant access to expertise that would take many years for an engineer to accumulate. Oxion now accompanies users even further along their journey to achieving perfect antenna-PCB integration.”

Additional new features in the Oxion 2.0 include AI Design Explorer for adjusting antenna placement, dimensions, and clearance. This interactive tool delivers instant performance feedback, with response times of less than one second, to help engineers refine their designs extremely quickly.

There are also enhancements to project management tools, with centralised dashboards to manage multiple projects, compare iterations, and access tailored design recommendations.

Moreno added, “Oxion continues to grow and the opportunities for scaling are unlimited with the comprehensive help centre and academy that provides tutorials and training materials. The resources available in the Virtual Antenna Academy are developed through our close connection with La Salle University Ramon Llull to provide education on cutting-edge RF and antenna integration techniques.”

Oxion applies machine learning to help designers of wireless products overcome the complex challenges surrounding antenna selection and design-in. Building on Ignion’s Virtual Antenna technology, Oxion can calculate the desired performance and finds the most suitable antennas. Then, support for rapid design iteration helps quickly optimise aspects such as positioning and clearance area.

With the latest release, Oxion now removes even more roadblocks by providing interactive design tools and automating antenna integration validation.