Pulsed techniques for the characterization of low-frequency dispersive effects in RF power FETs using a flexible measurement set-up
This work describes an on-wafer measurement architecture tailored to the broadband pulsed characterization of radio-frequency (RF) power field-effect transistors (FETs). Based on a 50-Ω environment and corresponding wave-variable domain representation, the set-up exploits the impedance matching and...
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Veröffentlicht in: | Measurement : journal of the International Measurement Confederation 2021-05, Vol.176, p.109240, Article 109240 |
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Zusammenfassung: | This work describes an on-wafer measurement architecture tailored to the broadband pulsed characterization of radio-frequency (RF) power field-effect transistors (FETs). Based on a 50-Ω environment and corresponding wave-variable domain representation, the set-up exploits the impedance matching and the broadband feature of its components, together with a full-bandwidth calibration, for the synthesis and measurement of pulsed waveforms with short pulse rise/fall times in the order of a few ns, while guaranteeing a reduced risk of oscillations.
These measurement capabilities are particularly suited for experimentally assessing the FET performance reduction due to low-frequency dispersive effects caused by thermal and charge trapping phenomena. The flexibility of the set-up is showcased by discussing experimental examples of different measurement techniques in the kHz-to-GHz range, including single- and double-pulsed I–V characteristics and S-parameters, as well as pulsed continuous-wave (CW) measurements, performed on state-of-the-art gallium nitride (GaN) RF FETs for microwave and millimeter-wave applications.
•Measurement architecture for RF FETs affected by low-frequency dispersive effects.•Network analyzer-like topology in a 50-Ω environment to reduce overshoots/oscillation.•Full-bandwidth calibration in the kHz-to-GHz range for absolute wave measurement.•Tailored to GaN HEMT custom characterization with short pulse rise/fall times.•Deeper insight on dispersive effects and extended data for measurement-based modeling. |
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ISSN: | 0263-2241 1873-412X |
DOI: | 10.1016/j.measurement.2021.109240 |