Application of the Genetic Algorithm to the design optimization of millimeter wave spaceborne frequency selective surface

We demonstrate a brand new class of band-pass frequency selective surface (FSS) for remote sensing applications. This satellite-bone device has an operating frequency at 118GHz, which is a typical frequency in O₂ absorption line. Numerical method Periodic Method of Moment approach has been applied to determine the original geometrical structure and inter-unit spacing of FSS element, and the optimization technique based on the Genetic Algorithm empowered us to obtain the requisite spectral response and power conversion performance for TE and TM polarization. Comprising an ultra-thin gold layer and a SiO₂ dielectric layer, this complex GA-based periodic component exhibit a very low insertion loss (<;0.3dB) and high isolation (>;25dB) between closely spaced frequency channels at 45° incidence.