


Xbar filter software#
Resonant (NASDAQ: RESN) is transforming the market for RF front-ends (RFFE) by disrupting the RFFE supply chain through the delivery of solutions that leverage our Infinite Synthesized Network (ISN) software tools platform, capitalize on the breadth of our IP portfolio, and are delivered through our services offerings. The partners that manufactured the n79 band XBAR filters were both part of the Resonant Foundry Program, and the results closely mirrored the simulations performed in Resonant’s proprietary ISN software platform.
Xbar filter full#
The n79 band XBAR filters manufactured demonstrate minimum insertion loss of 12% fractional bandwidth) bandwidth, and high rejection, resulting in superior full bandwidth performance, maximizing data speed by minimizing signal loss and interference, an additional benefit being longer battery life. Holmes, continued: “We expect this milestone to pave the way towards high-volume commercialization of our patented XBAR filter technology for non-mobile applications, while driving continued innovation and creating unmatched, high-performance filter designs to meet the unique demands of true 5G.” In addition, this breakthrough showcases that Resonant’s high performance, high frequency, and wide bandwidth XBAR technology can, for the first time ever, be produced on a basic, commercial-off-the-shelf (COTS) SAW process. Resonant believes that XBAR is the only available RF filter technology today that can innately or natively meet the complex requirements for bandwidth and performance demanded by 5G applications.
Xbar filter code#
“Our ISN software platform has allowed us to crack the code of complex filter technology, while using only proven, high-volume manufacturing processes-as opposed to traditional BAW foundry processes which are more complex and expensive than SAW processes.” Holmes, Chairman and Chief Executive Officer of Resonant. “This technological breakthrough-which for the first time demonstrates the production of high-performance 5G filters on a standard, off the shelf SAW front end process-fundamentally validates Resonant’s ability to produce filters faster, better and cheaper,” said George B. The simplicity of the SAW manufacturing process generally experiences higher yields, cheaper material costs, less manufacturing steps, and therefore, reduced time-to-market than required by the bulk acoustic wave (BAW) filter manufacturing process, whether industry standard poly-crystalline or new single-crystalline structures. The collaboration with Teledyne continues as we expand the capabilities of the non-mobile XBAR technology.Īccording to Yole Development, the processes that SAW foundries utilize are widely recognized as the cheapest, easiest, fastest and highest volume production method available for acoustic filters in today’s growing $15 billion filter market. Resonant’s XBAR filters have previously been manufactured on a MEMs process line, as utilized by Resonant’s industry-leading partner Teledyne. To date, six separate foundries have now successfully manufactured Resonant’s XBAR filters. Resonant’s unique ability to manufacture a complex 5G filter on a SAW front end process was made possible by the company’s EDA multi-physics (software) platform, Infinite Synthesized Networks® (ISN®).īoth partners manufactured Resonant’s XBAR filter, which was designed for the non-mobile n79 5G band, which pertains to applications such as infrastructure, WiFi CPE and automotive, among others. (NASDAQ: RESN), a leader in transforming the way radio frequency, or RF, front-ends are being designed and delivered for mobile handset and wireless devices, has announced that its patented 5G XBAR® filters, for non-mobile applications have been successfully manufactured by two different foundry partners using a standard surface acoustic wave (SAW) front end process. 18, 2020 (GLOBE NEWSWIRE) - Resonant Inc. Next-Generation 5G Filters for Non-Mobile Applications Showcase Ability to Maximize Data Speed by Minimizing Signal Loss and Interference, All on a Simple, Cost Effective SAW Process
