Design of antennas for modern applications is a challenging task that combines cognition-driven development of topology intertwined with tuning of its parameters using rigorous numerical optimization. However, the process can be streamlined by neglecting the engineering insight in favor of automatic de-termination of structure geometry. In this work, a specification-oriented design of topologically agnostic antenna is considered. The radiator is developed using a bi-stage algorithm that involves min-max classification of randomly-generated topologies followed by local tuning of the promising designs using a trust-region optimization applied to a feature-based representation of the structure frequency response. The automatically generated antenna is characterized by -10 dB bandwidth of over 600 MHz w.r.t. the center frequency of 6.5 GHz and a dual-lobe radiation pattern. The obtained performance figures make the radiator of use for in-door positioning applications. The design method has been favorably compared against the frequency-based trust-region optimization.

翻译：现代应用中的天线设计是一项具有挑战性的任务，它结合了认知驱动的拓扑开发与利用严格数值优化对其参数进行的调整。然而，通过忽略工程洞察，转而自动确定结构几何形状，可以简化该过程。本文研究了一种面向规范、拓扑无关的天线设计。该辐射器采用一种双阶段算法进行开发，该算法首先对随机生成的拓扑进行最小-最大分类，随后利用基于特征的频率响应表示，对具有潜力的设计应用信赖域优化进行局部调谐。自动生成的天线特性为：相对于6.5 GHz的中心频率，其-10 dB带宽超过600 MHz，并具有双瓣辐射方向图。所获得的性能指标使得该辐射器可用于室内定位应用。该设计方法相较于基于频率的信赖域优化方法，表现更优。