access icon openaccess Time-division polynomial pre-distorter for linearisation of 1.5 T MRI power amplifier

A time-division polynomial (TDP) model is proposed for modelling and linearising a 1.5 T magnetic resonance imaging (MRI) power amplifier (PA) with strong non-linearity in high input signal dynamic range. In order to demonstrate the merit of this non-linear model, a 64 dBm 1.5 T MRI PA (63.89 MHz) and two different Sinc-pulse signals are used in modelling and linearisation measurements. The TDP is compared with the conventional non-memory polynomial (NMP) and no digital pre-distortion for the 1.5 T MRI PA, which is driven by test signal with 2 ms time length and 2% duty cycle. The proposed TDP leads to up to 9 dB improvement in the normalised mean square error compared with the NMP in two different test signals. More importantly, TDP illustrates significantly better reduction in amplitude modulation/amplitude modulation (AM/AM) and amplitude modulation/phase modulation (AM/PM) conversion compared with the NMP.

Inspec keywords: radiofrequency power amplifiers; mean square error methods; linearisation techniques; polynomials; magnetic resonance imaging

Other keywords: nonlinear model; time-division polynomial pre-distorter; AM-PM conversion; NMP; digital pre-distortion; sinc-pulse signal; MRI power amplifier; magnetic flux density 1.5 T; linearisation measurement; TDP model; nonmemory polynomial; frequency 63.89 MHz; time-division polynomial model; magnetic resonance imaging PA; normalised mean square error; time 2 ms; AM-AM conversion

Subjects: Interpolation and function approximation (numerical analysis); Microwave circuits and devices; Amplifiers

References

    1. 1)
      • 7. Liu, T., Boumaiza, S., Ghannouchi, F.M.: ‘Augmented Hammerstein predistorter for linearization of broad-band wireless transmitters’, IEEE Trans. Microw. Theory Tech., 2006, 54, (6), pp. 13401349.
    2. 2)
      • 3. Dawson, J., Lee, T.H.: ‘Feedback linearization of RF power amplifiers’ (Kluwer Academic, Norwell, MA, 2004).
    3. 3)
    4. 4)
    5. 5)
    6. 6)
    7. 7)
    8. 8)
http://iet.metastore.ingenta.com/content/journals/10.1049/joe.2017.0195
Loading

Related content

content/journals/10.1049/joe.2017.0195
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading