Canning, Timothy A. J., Almuhaisen, Abdullah, Lees, Jonathan  ORCID: https://orcid.org/0000-0002-6217-7552, Benedikt, Johannes  ORCID: https://orcid.org/0000-0002-9583-2349, Cripps, Stephen Charles  ORCID: https://orcid.org/0000-0002-2258-951X and Tasker, Paul J.  ORCID: https://orcid.org/0000-0002-6760-7830
      2011.
      
      Utilization of RF I-V waveform load-pull information to identify the role FET knee profile has on locating the efficiency maxima.
      Presented at: 2011 78th ARFTG Microwave Measurement Symposium (ARFTG),
      Tempe, AZ, USA,
      1-2 December 2011.
      
      Proceedings of the 2011 78th ARFTG Microwave Measurement Symposium (ARFTG) - High Power RF Measurement Techniques.
      
      
      
       
      
      Los Alamitos, CA: 
      IEEE,
      
      10.1109/ARFTG78.2011.6183864
    
  
  
       
       
     
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Abstract
Typically performance maxima in terms of output power, efficiency, etc. are determined from analyzing, effectively “data mining”, load-pull measurements. This approach while identifying relevant design information provides no insight into the origin or location of the relevant maxima. However, if during load-pull measurements the RF I-V waveforms are also measured this insight is available. Measured RF I-V waveform load-pull information from a 10×75μm Gallium Arsenide transistor operating in class-B at 8GHz is used to correctly identify the effect of the knee region of the transistor I-V characteristic on power and efficiency. As a consequence the location of the drain efficiency contours on the Smith Chart are explained in terms of Vmin and current waveform compression.
| Item Type: | Conference or Workshop Item (Paper) | 
|---|---|
| Date Type: | Publication | 
| Status: | Published | 
| Schools: | Schools > Engineering | 
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | 
| Uncontrolled Keywords: | Amplifier Knee, class-B, high efficiency, power amplifier, waveform engineering | 
| Publisher: | IEEE | 
| ISBN: | 9781467302814 | 
| Last Modified: | 21 Oct 2022 09:23 | 
| URI: | https://orca.cardiff.ac.uk/id/eprint/36182 | 
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