Particle Swarm Optimization-Based Rectangular Microstrip Antenna Designing

Abstract

Abstract-In this paper, a new system is proposed for microstrip antenna (MSA) designing. Two main stages need for designing procedure. Firstly, modeling of rectangular MSA is performed using some nonlinear regression methods. Then an inverse modeling is done using particle swarm optimization (PSO) algorithm with some constraints. Result includes a suitable system with bandwidth as an input and dimensions width, frequency range, length over a ground plane with a substrate thickness, dielectric loss tangent and electrical thickness as an output.

Design Microstrip Antenna Using Particle Swarm Optimization

“…Figure (12) shows the relation between VSWR and frequency. Figure (13) shows the relation between reflection coefficient and frequency and it is found that the reflection coefficient is equal to -17 dB. Figures (14,15) show polar pattern in E and H-planes and it is found the HPBW in E-plane is equal to 66 degrees and HPBW in H-plane is equals to 64 degrees, from the above results which I achieved using PSO are acceptable and it"s successfully implemented for designing the microstrip antenna with different shapes.…”

“…In the following, calculate the P-best of each particle and g-best of population (the best movement of all particles). The updated velocity, position, g-best and p-best of particles give a new best position (best chromosome in our proposition) Figure (2) shows the PSO model for microstrip antenna and Figure (3) shows the PSO algorithm for microstrip Antenna Design, the PSO algorithm can be described as: [13,19,20]. For fast convergence of PSO iteration, the initial particle can include with random position and velocity.…”

“…It is about an antenna of length (L), width (W), thickness (h) posed on a substrate of permittivity ( r  ). The objective is to find the values of the four parameters :( L, W, h, and r  ), so that the antenna satisfies the constraint the algorithm applied for resonant frequency equal to 10 GHz [3,13] to check the ability of the proposed design.…”

“…Yogesh et al ( 2009) presented PSO method as based design of a dual slot patch antenna [12]. Hadi and Mehri et al ( 2009) used PSO for bandwidth calculation of MSA [13]. Mohammad et al (2009) presented PSO with curve fitting for E-shaped microstrip patch antenna design [14] .Charnaani et al (2010) have obtained using PSO, optimal tradeoff between side lobe level and beam width in time domain for ultra-wide band antenna array [15].…”