研究目的
To predict nonlinear behavior of InGaP/GaAs HBT and analyze variations of nonlinear large signal intrinsic elements with increasing power under different bias conditions for power amplifiers.
研究成果
The proposed large signal analysis method based on the Gummel-Poon model effectively predicts nonlinear behavior in InGaP/GaAs HBTs, with good consistency between calculated and measured results up to nonlinear power levels. It provides insights into bias-dependent variations of intrinsic elements, enabling optimization for linearity in power amplifiers through predistortion techniques.
研究不足
The method loses accuracy when the transistor enters strong nonlinear mode, particularly for input power levels above -5 dBm for HBT40, due to breakdown region effects. It is valid for weak nonlinear applications but may not fully capture strong nonlinearities.
1：Experimental Design and Method Selection:
The method is based on the Gummel-Poon model. It involves calculating large signal parameters (Gm, Gbe, CBE, CBC) using root mean square values of junction voltages (VBE,rms, VBC,rms) derived from transient measurements. The procedure includes DC testing for I-V curve extraction, small-signal testing for Z-parameters, and large-signal testing for waveform acquisition.
2：Sample Selection and Data Sources:
A 2 × 20 μm2 InGaP/GaAs HBT device (HBT40) is used, fabricated with InGaP/GaAs HBT technology. Data is sourced from on-chip measurements using RF probes.
3：List of Experimental Equipment and Materials:
RF testing probe for on-chip testing, thru-reflection-short (TRS) calibration structures, and the HBT40 transistor.
4：Experimental Procedures and Operational Workflow:
Calibration using TRS structures, DC testing to extract Gummel-Poon model parameters, small-signal testing to extract extrinsic parasitic elements, large-signal testing to measure transient VBE and VBC waveforms, calculation of VBE,rms and VBC,rms, and computation of large signal parameters.
5：Data Analysis Methods:
Comparison of calculated and measured parameters (Gm, Gbe, CBE, CBC), harmonic balance simulation for power performance validation, and analysis of variations with power and bias conditions.
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