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针对 CMOS RF平面螺旋电感的物理模型 ,提出了一种使用遗传算法优化电感设计参数的优化技术 .应用这种技术 ,人们无需再通过等 Q值线来求取 Q值最佳的电感设计方案 ,因为等 Q值线的计算代价很高 ,而且一旦工艺条件改变 ,所有的等 Q值线都要重新计算 ,效率很低 .而这里提出的优化技术在计算时并没有将所有的电感版图设计方案都计算一遍 ,因而计算效率大大提高 .计算结果与相应设计方案的测量参数比较 ,只有约 5 %的计算误差 .计算结果与相同条件下的等 Q值线的最佳设计方案比较 ,这种优化技术总能得出与之基本一致的最佳方案 .事实上 ,由于这种优化技术的灵活性 ,“真正”的最佳设计方案只能由这种优化技术得出 ,而等 Q值线只能得出“相对”最佳的设计方案
Aiming at the physical model of CMOS RF planar spiral inductor, an optimization technique of using genetic algorithm to optimize the design parameters of the inductor is proposed.Using this technique, one does not need to find the best Q-value inductor design scheme through Q- Because the Q-value line is expensive to calculate, and once the process conditions change, all Q-value lines have to be recalculated and the efficiency is low. The optimization techniques presented here do not include all of the inductor layout designs Are calculated again, so the computational efficiency is greatly improved.Compared with the measurement parameters of the corresponding design scheme, the calculation result is only about 5% of the calculation error.Compared with the optimal design of the Q-line under the same conditions, this optimization The technology is always the best solution to be consistent with the fact that due to the flexibility of this optimization technique, the “real” best design solution can only be derived from this optimization technique, while the Q-line only Can come to “relative” the best design