AWR Success Stories

Qorvo Solves Entire Non-Uniform Distributed Power Amplifier MMIC

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Qorvo Cadence is a pivotal leader in electronic design and computational expertise, using its Intelligent System Design strategy to turn design concepts into reality. Cadence customers are the world's most creative and innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications. www.cadence.com © 2020 Cadence Design Systems, Inc. All rights reserved worldwide. Cadence, the Cadence logo, and the other Cadence marks found at www.cadence.com/go/trademarks are trademarks or registered trademarks of Cadence Design Systems, Inc. All other trademarks are the property of their respective owners. 14481 10/20 DB/SA/SS-X-QRV/PDF The power and speed of AXIEM 3D planar EM software made it possible to accurately and efficiently simulate the entire structure of this very complex NDPA MMIC. Chuck Campbell, Qorvo Summary The power and speed of the AWR AXIEM simulator made it possible to accurately and efficiently simulate the entire structure of the very complex Qorvo NDPA MMIC device. The simulated and measured results, as shown in Figure 3, were in good agreement, and, in the 1.5–17GHz band, exper- imental results of 9-15W saturated output power with an associated PAE were typically above 20%. To Campbell's knowledge, these results are among the highest reported for a monolithic solid-state power amplifier covering this frequency range. Figure 3: 30V small signal gain and return loss (simulated small signal gain is the broken line) The Solution Prior to EM, Qorvo had never attempted to simulate the entire MMIC circuit of their NDPA, which includes more than 32 ports and, for a gridded planar EM tool, upwards of 30,000 unknowns. Nevertheless, Campbell decided to put the AXIEM simulator to the test. The result: the entire structure from DC to 120GH was solved in under two minutes per frequency using a quad-core desktop PC with 4G RAM (32-bit OS) (Figure 2). Figure 2: 32-port AXIEM layout What's more, the software's shape pre-processor and hybrid adaptive meshing algorithms meant that the final mesh size was little more than 6,000 unknowns, which was highly efficient.

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