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Langevin approach to understand the noise of microwave transistors

机译:Langevin了解微波晶体管噪声的方法

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摘要

A Langevin approach to understand the noise of microwave devices is presented. The device is represented by its equivalent circuit with the internal noise sources included as stochastic processes. From the circuit network analysis, a stochastic integral equation for the output voltage is derived and from its power spectrum the noise figure as a function of the operating frequency is obtained. The theoretical results have been compared with experimental data obtained by the characterization of an HEMT transistor series (NE20283A, by NEC) from 6 to 18 GHz at a low noise bias point. The reported procedure exhibits good accuracy, within the typical uncertainty range of any experimental determination. The approach allows to extract all the information required for understanding the noise performance of the device without any restriction on the statistics of the noise sources. The results show the relevant noise phenomena from a new angle. Keywords; Noise modelling; microwave transistor; stochastic integration; HEMT circuit model.
机译:提出了一种理解微波器件噪声的Langevin方法。该器件由其等效电路表示,内部噪声源作为随机过程包含在内。通过电路网络分析,推导出输出电压的随机积分方程,并从其功率谱中得到噪声系数随工作频率的变化。理论结果与在低噪声偏置点下表征6至18 GHz的HEMT晶体管系列(NE20283A,NEC)获得的实验数据进行了比较。报告的程序表现出良好的准确性,在任何实验测定的典型不确定度范围内。该方法可以提取了解器件噪声性能所需的所有信息,而不受噪声源统计数据的任何限制。结果从新的角度展示了相关的噪声现象。关键字;噪声建模;微波晶体管;随机积分;HEMT电路模型。

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