Optimization Design of Ground Plane PBG Structure of T-shape Microstrip Line by Improved FGA
A new fuzzy genetic algorithm (FGA) is developed to reduce crosstalk of T-shape microstrip linesInhigh 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 crosstaik between T-shape microstrip line and adjacent lineInthe 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-bandgap ground. Then the return loss and the signal distortion reduce effectively.
Finite-differenee time-domain(FDTD) method fuzzy genetic algorithm(FGA) crosstalk photonic-bandgap(PBG)
Fang Xiao Dong Yan Li Sun
School of Electrical Engineering and Automation,Harbin Institute of Technology,Harbin,150001,China
国际会议
2008 International Conference on Microwave and Millimeter Wave Technology(2008国际微波毫米波技术会议)
南京
英文
1561-1564
2008-04-21（万方平台首次上网日期，不代表论文的发表时间）