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

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.