单载流子传输光敏晶体管小信号等效电路模型的建立与分析

发布时间：2018-03-31 10:03

本文选题：小信号等效电路模型　切入点：单载流子传输　出处：《光子学报》2017年11期

【摘要】：建立了单载流子传输双异质结光敏晶体管的小信号等效电路模型.分析了单载流子传输双异质结光敏晶体管光生电流的产生机制,并将其作为基极电流的一部分,引入到小信号等效电路中.分析了单载流子传输双异质结光敏晶体管中单载流子传输的输运方式对光跨导、发射结电阻、发射结结电容和集电结结电容的影响.基于所建模型,研究了InP基单载流子传输双异质结光敏晶体管的光特征频率和光电流增益受光窗口面积和入射光功率的影响.结果表明,在同样入射光功率下,存在一个最佳的光窗口面积使得光特征频率获得最大值,最佳光窗口面积随入射光功率的增加在一定面积范围内发生偏移.在固定光窗口面积(8×8μm2)条件下,随着输入光功率的增加,光特征频率先增大后减小,在280μW时达到最高值150GHz,光短路电流增益也随着光功率的增加而逐渐增加,在入射光功率750μW时达到饱和,饱和增益为82dB.
[Abstract]:The small signal equivalent circuit model of single carrier transmission double heterojunction Guang Min transistor is established. The photogeneration mechanism of single carrier transmission double heterojunction Guang Min transistor is analyzed and used as a part of base current. The influence of single carrier transport mode on optical transconductance, emitter junction resistance, emitter junction capacitance and collector junction capacitance in single carrier transmission double heterojunction Guang Min transistor is analyzed. The optical characteristic frequency and optocurrent gain of InP based single carrier transmission double heterojunction Guang Min transistor are studied. The results show that the optical characteristic frequency and photocurrent gain are affected by the area of the optical window and the incident light power. There is an optimal optical window area to obtain the maximum optical characteristic frequency, and the optimum optical window area deviates within a certain area with the increase of the incident light power. Under the condition of fixed window area (8 脳 8 渭 m ~ 2), With the increase of input optical power, the optical characteristic frequency first increases and then decreases, reaching the maximum value of 150 GHz at 280 渭 W, the gain of short circuit current increases gradually with the increase of optical power, and reaches saturation at 750 渭 W of incident light power, and the saturation gain is 82 dB.
【作者单位】：北京工业大学信息学部电子科学与技术学院;
【基金】：国家自然科学基金(Nos.61604106,61574010,61006044,61774012) 北京市未来芯片技术高精尖创新中心科研基金(No.KYJJ2016008) 北京市自然科学基金(Nos.4122014,4142007) 山东省自然科学基金(No.ZR2014FL025)资助~~
【分类号】：TN32

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