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    • Identifying Quasi-Identical Power Amplifiers Through EVM and NMSE Measurements of Output Data Using Digital Post Distortion

    Nicholas Ellis,Patrick Roblin, James Gaudreau,Joel T. Johnson, Justin Kuric,Christopher Ball,Richard Ridgway

    2024 102ND ARFTG MICROWAVE MEASUREMENT CONFERENCE, ARFTG（2023）

    Ohio State Univ

    Cited 0|Views7
    Abstract
    Quasi-identical power amplifiers can be differentiated through the unique non-linearities that are inherent to each individual power amplifier (PA). The use of error vector magnitude (EVM) and/or normalized mean squared error (NMSE) metrics relative to the reference input signal has been recently proposed as a metric. In this paper it is experimentally verified that first linearizing the PA outputs using the same digital post distortion (DPoD) technique to correct for the non-linearities of the reference PA, magnifies the differences observed in the EVM and NMSE metrics. As the signal-to-noise ratio (SNR) of the distorted signal output increases, the differences between the EVM/NMSE measurements of the two Pas also increases. At a high enough SNR, two quasi-identical Pas can be reliably differentiated using the EVM/NMSE metrics once DPoD has been applied.
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    Key words
    Power amplifiers,digital post distortion,error vector magnitude,normalized mean square error
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