WEBINAR

Learn How to Perform mmWave Network Analysis Without Requiring a VNA

Discover how Copper Mountain's innovative BFx-02 system offers a simplified and lower cost method for s-parameter measurements than traditional VNA techniques.
May 21, 2026
6:00 PM UTC
1 hour

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As mmWave designs accelerate across 5G, radar, satellite, and advanced materials, traditional VNA architectures are proving costly and overly complex. This webinar introduces CMT’s BFx‑02, a purpose-built backend for mmWave frequency extenders that delivers accurate vector measurements without the overhead of a full VNA.

Engineers will learn how BFx simplifies extender-based measurements by eliminating internal reflectometers and broadband RF paths, while preserving the phase and amplitude accuracy needed for meaningful S‑parameter analysis. By extracting uncalibrated S‑parameters directly from digitized IF wave ratios, BFx reduces system complexity, footprint, and cost.

The session also covers how BFx enables frequency-scalable, multi-channel mmWave test systems using third-party extenders—supporting RFIC, antenna, and production test environments.

A live demo will show WR‑15 bandpass filter measurements using Eravant extenders driven by BFx, followed by live Q&A.

Ideal for RF and mmWave electronic design and test engineers evaluating alternatives to traditional VNA-based extension systems.

Speaker:

Prakruthi Prasanna

Prakruthi Prasanna

Applications Engineer

Copper Mountain Technologies

Prakruthi Prasanna earned a Bachelor’s degree in Electronics and Communications Engineering from Visvesvaraya Technological University in 2017, followed by a Master’s degree in Electrical Engineering from the University of South Florida in 2020. She has been with Copper Mountain Technologies since 2020 and currently serves as an Applications Engineer. In this role, she acts as a technical bridge between engineering, product development, and customers—translating application requirements into product specifications, supporting product validation, and ensuring successful deployment of vector network analyzers (VNAs).

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