An intelligence driven active loadpull system

机译：智能驱动的主动负载牵引系统

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This paper describes how the application of the PHD model can add intelligence to an open loop active loadpull system. This intelligence driven approach by providing for an improved prediction of the operating conditions required to emulate a specified load speeds up the load emulation convergence process by minimizing the number of iterations to predict the injected signal, therefore making more efficient use of a measurement system. The results were validated by carrying out loadpull measurements on the fundamental tone of a 10×75um GaAs HEMT, operating at 3 GHz.

机译：本文介绍了PHD模型的应用如何为开环有源负载牵引系统增加智能。这种智能驱动的方法通过提供对指定负载进行仿真所需的工作条件的改进预测，通过最小化预测注入信号的迭代次数来加快负载仿真收敛过程，从而更有效地利用测量系统。通过对工作在3 GHz的10×75um GaAs HEMT的基频进行负载拉测试，验证了结果。

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来源
《75th ARFTG Microwave Measurements Conference》|2010年|p.1-4|共4页
会议地点 Anaheim CA(US);Anaheim CA(US)
作者
Saini R. S.; Woodington S.; Lees J.; Benedikt J.; Tasker P. J.;
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作者单位

School of Engineering, Cardiff University, UK, CF24 3TF;

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会议组织
原文格式 PDF
正文语种 eng
中图分类微波与超高频技术;
关键词
X-parameters; active loadpull; device nonlinear models;

机译：X参数;主动负载牵引;设备非线性模型;

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An intelligence driven active loadpull system

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