微波晶体管的树状退火参数提取

M. Steer, G. Bilbro, R. Trew, S. G. Skaggs
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引用次数: 3

摘要

作者已经开发了一种替代的公式模拟退火使用树为基础的大都市程序称为树退火。树形退火适合于连续优化问题,特别是晶体管参数提取。采用树形退火优化算法提取英国Mishra等人(IEDM Tech. Dig)的HBT(异质结双极晶体管)的参数。使用基于物理的等效电路和在45 MHz至26.5 GHz范围内的去埋散射参数测量。参数提取技术获得了良好的结果,并且MFA不被锁定在局部极小值的能力使基于物理的等效电路模型得以使用。树退火本质上是一种智能随机搜索技术,因此比基于梯度的最小化算法需要更多的功能评估。然而,不需要惊人的猜测,参数值的界限可以广泛地分开,对优化时间的影响很小
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Parameter extraction of microwave transistors using tree annealing
The authors have developed an alternative formulation of simulated annealing using a tree-based Metropolis procedure called tree annealing. Tree annealing is suited to continuous optimization problems and, in particular, to transistor parameter extraction. The tree annealing optimization algorithm was used to extract the parameters of the HBT (heterojunction bipolar transistor) of U.K. Mishra et al. (IEDM Tech. Dig., p.180-3, Dec. 1988) using a physically based equivalent circuit and deembedded scattering parameter measurements from 45 MHz to 26.5 GHz. Good results were obtained from the parameter extraction technique, and the ability of MFA not to be locked in local minima enabled a physically based equivalent circuit model to be used. Tree annealing is essentially a smart random search technique and so requires many more functional evaluations than do gradient-based minimization algorithms. However, no startling guess is required, and the bounds on parameter values can be widely separated with little effect on optimization time.<>
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