研究目的
To design and fabricate a broadband GaAs pHEMT low noise driving amplifier with current reuse and self-biasing techniques to achieve low power consumption and reduced chip footprint for K/Ka-band applications.
研究成果
The proposed low noise driving amplifier achieves excellent wideband performance with low noise figure, high gain, and low power consumption, making it suitable for volume-limited and power-constrained applications. The combination of current reuse and self-biasing techniques effectively reduces power consumption and chip footprint, with measured results validating the design approach.
研究不足
The technique requires a high supply voltage (3.3V) for current reuse, which may not be suitable for lower voltage applications. Flexibility in transistor size selection is sacrificed due to power consumption constraints, and the design is specific to GaAs pHEMT technology, which may have limitations compared to other processes like GaN or InP in terms of power density or frequency range.
1:Experimental Design and Method Selection:
The design uses a two-stage common source amplifier configuration with current reuse and self-biasing techniques. Theoretical models for noise figure and P1dB optimization are employed.
2:Sample Selection and Data Sources:
The amplifier is implemented using a
3:15 μm GaAs pHEMT process. Transistor sizes (e.g., 2x25 μm, 2x50 μm, 4x25 μm, 4x50 μm) are simulated based on foundry models. List of Experimental Equipment and Materials:
GaAs pHEMT process with specific parameters (Gm=530 mS/mm, Idmax=500 mA/mm, etc.), on-chip components like inductors, capacitors, resistors, and microstrip lines.
4:Experimental Procedures and Operational Workflow:
The circuit is designed with specific biasing (Vgs1=-
5:35V, Vds1=3V, Vgs2=-5V, Vds2=2V), fabricated, and measured for S-parameters, noise figure, and P1dB using probe measurement techniques. Data Analysis Methods:
Measured data is compared with simulations; figures of merit (FoM1 and FoM2) are calculated to evaluate performance against state-of-the-art designs.
独家科研数据包,助您复现前沿成果,加速创新突破
获取完整内容