WEBINAR: Intrinsic Techniques in RF Power Amplifier Design

Key Takeaways

• Keysight ADS adds intrinsic node models for GaN PA design.
• Intrinsic analysis improves efficiency prediction over traditional load‑pull methods.
• Class J PA uses waveform engineering to maximize harmonic load tuning.
• GaN devices offer 4‑5× power density versus LDMOS when optimized.
• Webinar workspaces are freely downloadable for hands‑on learning.

Pulse Analysis

The RF power‑amplifier community is moving beyond traditional load‑pull at the extrinsic reference plane toward intrinsic modeling that captures the transistor’s internal current source and parasitics. Keysight’s Advanced Design System now ships with enhanced GaN models that let designers place a virtual intrinsic node directly in the simulation flow. By separating the ideal current generator from its surrounding resistance, capacitance, and inductance, engineers obtain a clearer picture of how the device will behave at microwave frequencies, reducing the gap between simulation and silicon.

Intrinsic analysis shines in Class J amplifier design, where waveform engineering is used to suppress voltage‑current overlap and push drain efficiency toward its theoretical limit. The technique starts with a simplified GaN transistor, applies a Fourier transform to the engineered voltage and current waveforms, and maps the resulting harmonic impedances back onto the intrinsic model. This closed‑loop approach aligns the harmonic load network so that power delivery at undesired tones is minimized, delivering efficiency gains that traditional extrinsic load‑pull cannot predict.

GaN’s four‑to‑five‑fold power‑density advantage over legacy LDMOS is only realized when designers exploit these intrinsic tools. Companies such as Motorola, NXP and others have already incorporated the methodology to shrink form factors and meet 5G and satellite‑link power budgets. Keysight’s master‑class webinars make the workflow accessible; the ADS workspaces are downloadable, allowing engineers to experiment without licensing barriers. As spectrum demands intensify, the ability to model and optimize PA efficiency at the intrinsic level will become a competitive differentiator across the wireless ecosystem.