Optimization of a Spline-Shaped UWB Antenna by PSO

Abstract

This letter presents the design of a planar antenna for U W B applications with a bandwidth of 5.5 GHz over 3.7 to 9.2 GHz and return loss values lower than −10 dB. The antenna geometry is described in terms of a spline-based representation whose control parameters, together with other geometrical descriptive quantities, are determined through a suitable Particle Swarm optimizer (P SO) in order to fit the U W B requirements. Representative results of both numerical and experimental validations are reported in order to assess the performance of the prototype as well as to give some preliminary indications on the reliability and effectiveness of the whole synthesis approach.

An Investigation on UWB-MIMO Communication Systems Based on an Experimental Channel Characterization

“…In this range the reflection coefficient of the antennas is lower than -10 dB. The antennas were synthesized by exploiting an innovative design approach based on the use of a spline description of the antenna geometry and on a Particle Swarm algorithm [7]. In addition to the compliance to input impedance matching requirements, such an approach allows one to design UWB antenna systems with distortionless propagation properties that fit the user constraints in terms of flatness of both the transfer function and the group delay.…”

Effects of Klopfenstein tapered feedlines on the frequency- and time-domain performance of planar monopole UWB antennas

“…This particular spline is an available tool to create shapes in CST Microwave Studio and it has been demonstrated to be a valid technique to smooth the shape of broadband radiators and improve impedance bandwidth and phase response performance [3]. In our particular case the spline-based symmetrical bevel smoothes the edges that a straight bevel would introduce, so that a possible source of phase distortion is eliminated from the radiating element.…”

Boolean Particle Swarm Optimization of 3-branch GSM/DCS/UMTS current dividers by using Artificial Immune System

“…PSO has been studied in several papers [3,5,6,7,8,9,10]. The fundamentals of PSO and the structure of a conventional PSO algorithm are briefly described in [10].…”