Dielectric Applauds FCC's 4-0 NPRM Approval

Dielectric has applauded the FCC's unanimous 4-0 NPRM approval to permit directional FM antenna modeling with computational methods.

The new rule will allow FM broadcasters to transition from physical modeling to a more efficient, economical and accurate simulated modeling procedure.

The approval indicates that the FCC views computer simulation as an acceptable method to validate the radiation patterns of directional FM antennas, and represents the first directional FM pattern verification rule change in 58 years.

In preparation for the ruling, Dielectric has been developing AI processes to fully automate the optimization of FM antenna geometry for each project. Dielectric’s AI-based innovations will ensure that the geometry for each installation will best fit the broadcaster’s desired radiation patterns while maintaining FCC compliance.

"May 19th, 2022 was a monumental day for FM broadcasters. The FCC adopting new rules allowing the use of computer modeling changes the rules for FM antenna modeling, which for decades has required broadcasters to build physical models and collect measured data to verify antenna patterns," said Keith Pelletier, President of Dielectric.

Pelletier added that the rule change will ease product to market timelines, helping broadcasters upgrade facilities quickly. In addition, he notes that the increased accuracy and the ability to run infinite patterns to maximize on FCC protections will allow broadcasters ease of mind.

"They can now have confidence that they are getting the best possible solution, all while not having to wait the traditional timelines for range testing and optimizing," said Pelletier. "Our trials of AI scripts have proven that we can completely optimize the geometry and not be compromised by time constraints. By simultaneously solving combinations of parasitics, pattern shapers and radiator locations, AI has replaced the slow, inaccurate and limited process of trial and error. We no longer have to settle for being ‘close enough’ when it comes to pattern verification."

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