基于隐式空间蛙跳算法设计的双频滤波器

Design of Dual-Band Filter Based on Implicit Space Leapfrog Algorithm

考虑到传统的隐式空间映射算法(ISM)在参数提取中会出现收敛速度慢甚至假收敛的情况,将改进的蛙跳算法用于隐式空间映射的参数提取,可有效改善参数提取过程中算法的不收敛性。通过改进参数提取中精确和粗糙模型的映射关系,可以明显减少迭代次数,并用于优化设计一个可工作在无线局域网(WLAN)的微带双频带滤波器。滤波器的中心频率分别为2.45GHz和5.25GHz,滤波器经过3次迭代后达到设计要求,验证了算法的可行性和有效性。

Considering that the slow convergence speed and even false convergence would appear in the conventional implicit space mapping （ISM） algorithm during the parameter extraction, an improved implicit space leapfrog algorithm is used to extract the implicit space mapping parameters, and the non convergence of the algorithm during the parameter extraction can be improved effectively. By improving the mapping relationship between the accurate model and the coarse model, the iteration numbers can be reduced significantly and be used to optimize the design of the micro-strip dual frequency band filter operating at WLAN. The center frequencies of the proposed filter are 2.45 GHz and 5.25 GHz respectively. The design requirements have been met after three iterations, thus the feasibility and effectiveness of the proposed algorithm has been verified.