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首页> 外文期刊>IEEE Electron Device Letters >Characteristics of Doped n GaAs Thermopile-Based RF MEMS Power Sensors for MMIC Applications
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Characteristics of Doped n GaAs Thermopile-Based RF MEMS Power Sensors for MMIC Applications

机译:用于MMIC应用的基于掺杂n GaAs热电堆的RF MEMS功率传感器的特性

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This letter presents characteristics of thermopile-based radio frequency microelectromechanical system (RF MEMS) power sensors with different doped n± GaAs concentrations, in order to improve sensitivity and signal-noise ratio (SNR). These sensors employ the conversion principle of RF power-heat-electricity, where two materials of AuGeNi/Au and n± GaAs are designed to constitute two arms of the thermopile. The effects of four doping concentrations of n± GaAs on the sensitivity and SNR of the power sensors are investigated. The RF MEMS power sensors are fabricated by a GaAs monolithic microwave integrated circuit (MMIC)-compatible process. Experiments show that these power sensors produce return losses of less than -28.3 dB up to 20 GHz. For the doped n± GaAs concentrations of 2.4 × 10, 8.5 × 10, 3.2 × 10, and 1.9 × 10 cm, measured sensitivities are about 84.10, 101.04, 209.82, and 395.52 μV/mW at 1 GHz and about 45.87, 54.11, 104.15, and 212.53 μV/mW at 20 GHz, respectively, while the resulting SNR are about 4.27 × 10, 3.08 × 10, 3.91 × 10, and 5.70 × 10 W at 1 GHz and about 2.33 × 10, 1.65 × 10, 1.94 × 10, and 3.06 × 10 W at 20 GHz, respectively. With the decrease of doping concentration, the sensitivity increases but the SNR decreases first and then increases.
机译:这封信介绍了具有不同掺杂n±GaAs浓度的基于热电堆的射频微机电系统(RF MEMS)功率传感器的特性,以提高灵敏度和信噪比(SNR)。这些传感器采用RF功率-热电的转换原理,其中AuGeNi / Au和n±GaAs两种材料被设计为构成热电堆的两个臂。研究了四种掺杂浓度的n±GaAs对功率传感器的灵敏度和SNR的影响。 RF MEMS功率传感器是通过兼容GaAs单片微波集成电路(MMIC)的工艺制造的。实验表明,这些功率传感器在20 GHz时产生的回波损耗小于-28.3 dB。对于2.4×10、8.5×10、3.2×10和1.9×10 cm的掺杂n±GaAs浓度,在1 GHz下测得的灵敏度分别约为84.10、101.04、209.82和395.52μV/ mW,约为45.87、54.11,在20 GHz时分别为104.15和212.53μV/ mW,而在1 GHz时所得的SNR分别约为4.27×10、3.08×10、3.91×10和5.70×10 W,以及约2.33×10、1.65×10和1.94在20 GHz时分别为×10和3.06×10W。随着掺杂浓度的降低,灵敏度增加,但SNR先降低,然后升高。

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