一种新的HEMT小信号模型参数提取方法

    A New Parameter-extraction Method for HEMT''''s Small-signal Model

    • 摘要: 介绍了一种高电子迁移率晶体管(HEMT)的小信号参数提取方法——综合多偏置点优化参数提取法。该文首先推导并提出了器件的模型、确定外部参数和内部参数,其次介绍了多偏置点优化算法。最后,以PHEMT器件为例进行鲁棒性和精确性测试,实验采用一系列随机起始值,结果表明,提取的参数值与经验值相差小于1%。

       

      Abstract: A multibias optimizing parameter extraction technique for high electron mobility transistor (HEMT) small signal model is described. Firstly, HEMT's small signal equivalent circuit is introduced, determining intrinsic and extrinsic elements. Secondly, a multibias decomposition based optimization method is presented. Lastly, robustness and accuracy tests, with a different set of random initial values , are performed on measured S parameters of a PHEMT device. Results indicate that the extracted parameters typically vary by less than 1%.

       

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