2013
DOI: 10.1109/tmtt.2012.2226056
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Application of an NVNA-Based System and Load-Independent $X$-Parameters in Analytical Circuit Design Assisted by an Experimental Search Algorithm

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Cited by 24 publications
(39 citation statements)
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“…In [5] the optimum load impedance for maximum output power for our HBT was calculated to be Z ref = 34 + 9.6 j , and a corresponding X‐parameters model was extracted at Z ref , by using a mixed passive–active load‐pull LSNA‐based measurement system. As demonstrated in previous papers by the authors [4, 5–14, 15], the model is able to correctly interpolate and extrapolate at other (close) output fundamental impedances around Z ref . This is very important for oscillator design, since depending on the design or the targeted figures of merit the optimum output impedance will change.…”
Section: Injection‐locked Oscillator Circuit Design: a New Design Metsupporting
confidence: 54%
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“…In [5] the optimum load impedance for maximum output power for our HBT was calculated to be Z ref = 34 + 9.6 j , and a corresponding X‐parameters model was extracted at Z ref , by using a mixed passive–active load‐pull LSNA‐based measurement system. As demonstrated in previous papers by the authors [4, 5–14, 15], the model is able to correctly interpolate and extrapolate at other (close) output fundamental impedances around Z ref . This is very important for oscillator design, since depending on the design or the targeted figures of merit the optimum output impedance will change.…”
Section: Injection‐locked Oscillator Circuit Design: a New Design Metsupporting
confidence: 54%
“…1 the Smith Chart region, which is covered by the load‐pull extraction procedure performed for both models, is shown. Moreover, the simulated maximum power contours at 1 dB compression (obtained from a non‐linear table‐based model also extracted by the authors [16], and similar to the measured ones [15]) are shown. It can be seen that there is a large Smith Chart region in which differences in power are minimum.…”
Section: Hbt X‐parameters Modelmentioning
confidence: 63%
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