## Abstract In this work, a simple, fast, and accurate optimization approach based on a differential evolution (DE) algorithm is presented to obtain closed‐form formulas for the synthesis of coplanar strip (CPS) lines. The results obtained from the synthesis formulas proposed in this work are compa
New and very simple synthesis formulas for coplanar strip line
✍ Scribed by Celal Yildiz
- Publisher
- John Wiley and Sons
- Year
- 2004
- Tongue
- English
- Weight
- 139 KB
- Volume
- 44
- Category
- Article
- ISSN
- 0895-2477
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
Closed-form analytical expressions suitable for CAD software packages are presented for calculating the quasistatic TEM parame-( ) ters of the double-sided coplanar strip line DS CPS . It has been shown that the present transmission line reduces to practical ¨alues the characteristic impedance of th
Simple and accurate closed-form formulas obtained by using a differential evolution algorithm are presented for the synthesis of coplanar waveguides (CPW). The results of the synthesis formulas proposed in this article are compared with those of the quasi-static analysis, the synthesis formulas repo
## Abstract This paper presents new, very simple, accurate closed‐form formulas obtained by using the curve‐fitting technique for coplanar waveguide synthesis. The results achieved from this work are compared to the results obtained from the quasi‐static analysis and the synthesis formulas proposed
Fast, simple, and accurate analytic expressions are deri¨ed for calculating the quasistatic TEM parameters of a multilayer cylindrical ( ) coplanar strip line MC CPS . The effects of the dielectric materials on the quasi-TEM characteristics are in¨estigated using the conformal mapping method. The de
## Abstract In this letter, new and accurate synthesis formulas to compute the physical dimensions of asymmetric coplanar waveguide (ACPW) are presented. The synthesis formulas are obtained with the use of differential evolution algorithm (DEA), genetic algorithm (GA), particle swarm optimization (