基于时间功率混合分段模型的磁共振功放非线性建模

    Time and Power Hybrid Piecewise Model Based Nonlinear Modeling for Magnetic Resonance Power Amplifier

    • 摘要: 为了能够对磁共振功放的强分叉非线性进行精确建模,提出一种时间功率混合分段模型。时间功率混合分段模型是针对磁共振功放的激励为辛格脉冲信号时的精确非线性模型。所提出的模型基于辛格脉冲信号的特点进行时域和幅度域分段,从而能够对磁共振功放的分叉非线性进行精确建模。采用辛格脉冲信号作为测试信号,测试信号的占空比为5%,设计输出峰值为18 kW 的1.5 T 磁共振功放(工作频率63.89 MHz)作为测试功放进行模型的有效性验证。实测磁共振功放和模型的AM/AM 和AM/PM 曲线的比较结果表明,时间功率混合分段模型能够对磁共振功放的分叉非线性进行精确建模。同时,所提出模型的归一化均方误差(NMSE)比记忆多项式、广义记忆多项式模型和时分多项式模型分别提高10.7 dB, 10.3 dB 和14.7 dB。

       

      Abstract: In order to effectively model the strong bifurcation nonlinearity of magnetic resonance power amplifiers (MRPA), a time and power hybrid piecewise (TPHP) model is proposed in this paper. The TPHP model is an accurate nonlinear model for the MRPA with excitation of Sinc-pulse signal. The proposed model is segmented in time domain and amplitude domain based on the characteristics of the Sinc-pulse signal, so that the bifurcation nonlinearity of the MRPA can be accurately modeled. In order to demonstrate the merit of this nonlinear model, a 1.5 T (Frequency-63.89 MHz) MRPA with peak power 18 kW and Sinc-pulse signals are used in modeling, the duty cycle of test signal is 5%. The comparison between the measured AM/AM and AM/PM curves of the MRPA and the model shows that the TPHP model can accurately model the bifurcation nonlinearity of MRPA. At the same time, the proposed TPHP model leads to 10.7 dB, 10.3 dB and 14.7 dB improvement in the normalized mean square error (NMSE) compared with the traditional memory polynomial model, generalized memory polynomial (GMP) and time-division polynomial model for test signals.

       

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