Hybrid optimization techniques for the design of SAW-filters
Hybrid optimization techniques for the design of SAW-filters
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SAW 滤波器设计的混合优化技术
DOI：
10.1109/ultsym.1997.662974
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发表时间：
1997
期刊：
影响因子：
--
通讯作者：
R. Weigel
中科院分区：
文献类型：
--
作者：
J. Franz;C. Ruppel;F. Seifert;R. Weigel
声表面波滤波器在移动的通信系统的中频滤波中起着关键作用。基于单相单向换能器（SPUDT）的滤波器是一种最有意义的声表面波结构。设计这些滤波器的一个目的是例如找到满足规格的具有最小长度的滤波器几何形状。高性能SAW滤波器的设计需要解决困难的非线性优化问题。我们提出了一个优化方案，这些SPUDT为基础的过滤器的全局最优搜索。该方法包括随机优化，例如，模拟退火或遗传搜索，随后是拟牛顿法。不同优化方法的结合，对于解决这一困难的优化问题，取得了较好的效果。该计划导致一个良好的整体收敛行为。
SAW filters play a key role in IF filtering in mobile communication systems. Filters based on Single Phase Unidirectional Transducers (SPUDTs) are one of the most interesting SAW structures. One aim in the design of these filters is for example to find a filter geometry with minimum length which fulfils the specifications. The high performance SAW filter designs require the solution of difficult nonlinear optimization problems. We present an optimization scheme for the search of a global optimum of these SPUDT based filters. The method consists of stochastic optimization, e.g., simulated annealing or genetic search, followed by a quasi Newton method. The combination of different optimization methods shows good results for the solution of the difficult optimization problem. The scheme leads to a good overall convergence behavior.