| Sonder, Hasan Berkem, Cipcigan, Liana  ORCID: https://orcid.org/0000-0002-5015-3334 and Ugalde Loo, Carlos  ORCID: https://orcid.org/0000-0001-6361-4454
      2019.
      
      Using electric vehicles and demand side response to unlock distribution network flexibility.
      Presented at: IEEE PES PowerTech Milano 2019,
      Milan, Italy,
      23-27 June 2019.
      
      Proceedings 2019 IEEE Milan PowerTech.
      
      
      
       
      
      
      IEEE,
      
      10.1109/PTC.2019.8810521   | 
| ![Cipcigan L - Using electric vehicles ....pdf [thumbnail of Cipcigan L - Using electric vehicles ....pdf]](https://orca.cardiff.ac.uk/style/images/fileicons/application_pdf.png) | PDF
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Abstract
This paper investigates the concurrent operation of a commercially available, modulated impedance synthesis and measurement system with digital pre-distortion (DPD) for industry standard modulated signals. The system was used to characterize a 10W GaN HEMT device, and provide impedance control over signal and distortion bandwidths, in response to a 10 MHz LTE signal centred at 2 GHz, and was able to rapidly achieve target reflection coefficients with an error less than −40dB (1%). A National Instruments (NI) PXi based characterisation system was used to apply a commercially available memory-based DPD algorithm. The transistor was biased in class-AB and was successfully linearised to better than −47.95 dBc ACPR when delivering at 2.5W average output power into an optimum load. Interestingly, the analysis showed that the DPD corrected ACPR contours aligned closely with the P 1dB contours, confirming the relevance of targeting peak-power for DPD, rather than raw ACPR. Also, and importantly, a level of linearity performance was achieved that meets for example, the 3GPP linearity specifications (45dBc) for commercial deployment, and demonstrates how this modulated load-pull system and DPD can be combined to de-risk an amplifier design at a very early stage in the design process.
| Item Type: | Conference or Workshop Item (Paper) | 
|---|---|
| Date Type: | Published Online | 
| Status: | Published | 
| Schools: | Schools > Engineering | 
| Publisher: | IEEE | 
| Date of First Compliant Deposit: | 29 July 2019 | 
| Last Modified: | 06 Jan 2024 02:16 | 
| URI: | https://orca.cardiff.ac.uk/id/eprint/124565 | 
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