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首页> 外文期刊>International journal of RF and microwave computer-aided engineering >Large-signal variability of microwave power amplifiers throughrnefficient device sensitivity-based physical modeling
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Large-signal variability of microwave power amplifiers throughrnefficient device sensitivity-based physical modeling

机译：微波功率放大器的大信号可变性，基于效率低的基于器件灵敏度的物理建模

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摘要

In the present article they present a comprehensive variability analysis of microwavernpower amplifiers in various operating classes by means of a recently developedrnnumerically efficient technique for the physics-based variability analysis of devicesrnoperated in nonlinear conditions. Both a class A and a deep class AB power amplifierrnare considered, with the active device undergoing variations of main physical parametersrnsuch as doping, gate work function, and gate length. The results presented showrnfor the first time that the physics-based variability analysis of nonlinear circuits is feasiblernand allows for a direct link between the PA performance uncertainty and thernactive device technological parameter variations. Both deterministic and statisticalrnvariations are taken into account, showing that the approach of Donati Guerrieri et al.rn(2016) allows for an aggressive reduction in computation time with respect to thernvariability analysis by means of conventional approaches, while retaining very goodrnaccuracy for parameter variations up to 10% of their nominal value. The highest sensitivityrnof the class A stage is found for the drain efficiency, while the class AB stagernhas a more involved behavior, with the highest sensitivity shifting from the drain efficiencyrnto the output power as the input power increases.
机译：在本文中，他们通过使用最近开发的数字有效技术对非线性条件下器件的基于物理的可变性分析，对各种操作级别的微波功率放大器进行了全面的可变性分析。有源器件都经历了主要物理参数（例如掺杂，栅极功函数和栅极长度）的变化，都考虑了A类功率放大器和AB类深度功率放大器。提出的结果首次表明非线性电路的基于物理学的可变性分析是可行的，并且允许在PA性能不确定性和有源器件技术参数变化之间建立直接联系。同时考虑到确定性和统计上的差异，这表明Donati Guerrieri等人（2016）的方法允许通过传统方法大幅减少关于可变性分析的计算时间，同时保留了非常好的参数变化精度至其标称值的10％。对于漏极效率，发现A级的灵敏度最高，而对于AB级，则具有更复杂的行为，随着输入功率的增加，最高灵敏度从漏极效率变为输出功率。

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