A novel method for reducing crosstalk of T-shaped microstrips based on the improved FGA and PML-FDTD

Author

Yan Dong ; Zeng Xiaoping ; Zhang Kai

Author_Institution

Coll. of Commun. Eng., Chongqing Univ., Chongqing, China

fYear

2010

fDate

4-7 Aug. 2010

Firstpage

133

Lastpage

137

Abstract

A new fuzzy genetic algorithm (FGA) is developed to reduce crosstalk of T-shape microstrip lines in high speed circuit systems, which is used to optimize the ground plane with photonic bandgap (PBG) structure. The genetic operators (crossover and mutation) are adjusted self-adaptively by fuzzy controller and good convergent character and global optimization are improved. Based on the PML-FDTD method, the fitness value is established by taking the sum of weighted performance index function of crosstalk and return loss, through which is optimized the crosstalk between T-shape microstrip line and adjacent line in the ground plane. Comparing the simulation results of the fitness function using different parameters, numerical results demonstrate that the crosstalk is decreased 8dB which is caused by T-shape microstrip line and adjacent line above the photonic band gap ground. Then the return loss and the signal distortion reduce effectively.

Keywords

crosstalk; finite difference time-domain analysis; fuzzy set theory; genetic algorithms; high-speed integrated circuits; microstrip lines; microwave photonics; PML-FDTD; T-shape microstrip lines; crossover genetic operator; crosstalk reduction; fitness value; fuzzy genetic algorithm; global optimization; ground plane; high-speed circuit systems; mutation genetic operator; photonic bandgap structure; return loss; signal distortion; weighted performance index function; Convergence; Crosstalk; Finite difference methods; Microstrip; Optimization; Reflection; Scattering parameters; Defected ground structure (DGS); Hilbert curve; Microstrip line; Q factor;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Automation (ICMA), 2010 International Conference on

Conference_Location

Xi´an

ISSN

2152-7431

Print_ISBN

978-1-4244-5140-1

Electronic_ISBN

2152-7431

Type

conf

DOI

10.1109/ICMA.2010.5588247

Filename

5588247