A Faster Approach for Design of Optimum Gain L-Band Pyramidal Horn Using Adaptive Neuro Fuzzy Inference System (ANFIS)

摘要

In this paper, optimization of optimum gain pyramidal horn Antenna for L-band has been done using Adaptive neuro fuzzy inference systems (ANFIS). The ANFIS is trained in such a way that for any desired gain and frequency (in the L-band), it can generate design parameters of pyramidal horn antenna with a great amount of accuracy. The errors in the desired gain are less than 1%. The numerical procedure followed here is that of synthesis i.e. the gain and resonant frequency are taken as input parameters while length, width and height of the antenna are considered as outputs. The advantage of the following paper lies in the fact that the geometry of a desired antenna (pyramidal) can be judged if only the optimum gain and the frequency of operation are provided. Without the trained system, finding this out would take substantial time.