Physical Modelling and Particle Swarm Design Of Coplanar Waveguide Square Spiral Inductor

References

• E. Pettenpaul, H. Kapusta, A. Weisgerber, H. Mampe et al., CAD models of lumped elements on GaAs up to 18GHz, IEEE Transactions on Microwave Theory and Techniques, 36(2), 1988, 294–304.
   Google Scholar
• R. Shimon, D. Scherrer, D. Caruth, I. Middleton et al., Accurate passive component models in CPW for 50GHz MMICs, 1997 IEEE MTT-S Int. Microwave Symposium Digest, Vol. 2, 769 772.
   Google Scholar
• K. Beilenhoff, W. Heinrich, & H. Hartnagel, Analysis of MIM series capacitances for coplanar MMICs, 8th Congr. Microwaves Optron. Dig., Sindelfinger, Germany, 1995, 124–128.
   Google Scholar
• T. Vaupel & V. Hansen, Electrodynamic analysis of combined microstrip and coplanar/slotline structures with 3-d components based on a surface/volume integral-equation approach, IEEE Transactions on Microwave Theory and Techniques, 47(9), 1999, 1788–1800.
   Google Scholar
• Y. Shih, C. Pao, & T. Itoh, A broadband parameter extraction technique for the equivalent circuit of planar inductors, 1992 IEEE MTT-S Int. Microwave Symposium Digest, Vol. 3, 1345 1348.
   Google Scholar
• D. Krafcsik & D. Dawson, A closed-form expresion for representing the distributed nature of the spiral inductor, 1986 IEEE MTT-S Int. Microwave Symposium Digest, 87–92.
   Google Scholar
• Y. Koutsoyannopoulos & Y. Papananos, Systematic analysis and modelling of integrated inductors and transformers in RF IC design, IEEE Transactions on Circuits and Systems II, 2000, 699–713.
   Google Scholar
• Z. Hejazi, P. Excell, & Z. Jiang, Accurate distributed inductance of spiral resonators, IEEE Microwave and Guided Wave Letters, 8(4), 1998, 164–166.
   Google Scholar
• Z. Jiang, P. Excell, & Z. Hejazi, Calculation of distributed capacitances of spiral resonators, IEEE Transactions on Microwave Theory and Techniques, 45(1), 1997, 139–142.
   Google Scholar
• H. Greenhouse, Design of planar rectangular microelectronic inductors, IEEE Transactions on Parts, Hybrids, and Packaging, 1974, 101–109.
   Google Scholar
• W. Tang & Y. Chow, Simple CAD formula for inductance calculation of square spiral inductors with grounded substrate by duality and synthetic asymptote, Microwave and Optical Technology Letters, 34(2), 2002, 93–96.
   Google Scholar
• S. Leong, Design, optimization of RF spiral inductors using scalable compact and accurate models, Analog Integrated Circuits and Signal Processing, 37, 2003, 165–177.
   Google Scholar
• C. Yue & S. Wong, Physical modelling of spiral inductors on silicon, IEEE Transactions on Electron Devices, 47(3), 2000, 560–568.
   Google Scholar
• P. Pogatzki, R. Kulke, T. Sporkmann, D. Kother, et al., A comprehensive evaluation of quasi-static 3D-FD calculations for more than 14 CPW structures — lines, discontinuties and lumped elements, 1994 IEEE MTT-S Int. Microwave Symposium Digest, Vol. 2, 1289–1292.
   Google Scholar
• I. Huynen, Novel fast multiline analysis of parasitic effects in CPW inductors for MMIC’s, IEEE Microwave and Guided Wave Letters, 8(2), 1998, 72–74.
   Google Scholar
• M. Tuko, M. Naghed, & I. Wolff, Novel 18/36 GHz MMIC GaAs FET frequency doublers in CPW techniques under the consideration of the effects of coplanar discontinuities, IEEE Transactions on Microwave Theory and Techniques, 41(8), 1993, 1307–1315.
   Google Scholar
• D. Budimir, I. Robertson, Q. Wang, & A. Rezazadeh, Design of coplanar waveguide multilayer square spiral inductors for monolithic microwave integrated circuits, International Journal of RF and Microwave Computer-Aided Engineering, 9(2), 1999, 86–92.
   Google Scholar
• S. Mohan, M. del Mar Hershenson, S. Boyd, & T. Lee, Simple accurate expressions for planar spiral inductances, IEEE Journal of Solid-State Circuits, 34(10), 1999, 1419–1424.
   Google Scholar
• S. Mohan, The design, modelling and optimization of on-chip inductor and transformer circuits, Ph.D. Dissertation, Stanford University, 1999.
   Google Scholar
• S. Kythakyapuzha, Modelling of spiral inductors and transformers, M.S. Thesis, Kansas State University, 2001.
   Google Scholar
• HFSS Software, Ansoft Corporation, PA, USA.
   Google Scholar
• R.C. Eberhart & J. Kennedy, A new optimizer using particle swarm theory, Proc. Sixth International Symposium on Micromachine and Human Science, Nagoya, Japan, 1995, 39–43.
   Google Scholar
• J. Kennedy & R.C. Eberhart, Particle swarm optimization, Proc. IEEE International Conference on Neural Networks, Piscataway, NJ, 1995, 1942–1948.
   Google Scholar
• J. Kennedy & R.C. Eberhart, A discrete binary version of the particle swarm algorithm, Proc. IEEE International Conference on Systems, Man, and Cybernetics: Computational Cybernetics and Simulation, Vol. 5, 1997, 4104–4108.
   Google Scholar
• J. Kennedy, R.C. Eberhart, & Y. Shi, Swarm intelligence (San Francisco: Morgan Kaufmann Publishers, 2001).
   Google Scholar
• J. Kennedy & R. Mendes, Population structure and particle swarm performance, Proc. Congr. Evolutionary Computation (CEC 02), Vol. 2, 2002, 1671–1676.
   Google Scholar
• J. Kennedy & J.M. Spears, Matching algorithms to problems: An experimental test of the particle swarm and some genetic algorithms on the multimodal problem generator, Proc. IEEE World Congr. Computational Intelligence Evolutionary Computation, 1998, 78–83.
   Google Scholar
• R.C. Eberhart & Y. Shi, Evolving artificial neural networks, Proc. Int. Conf. Neural Networks Brain, Beijing, P.R.C., 1998.
   Google Scholar
• B. Brandstatter & U. Baumgartner, Particle swarm optimization-mass-spring system analogon, IEEE Transactions on Magnetics, 38(2), 2002, 997–1000.
   Google Scholar
• J. Robinson & Y. Rahmat-Samii, Particle swarm optimization in electromagnetics, IEEE Transactions on Antennas and Propagation, 52(2), 2004, 397–402.
   Google Scholar
• I.C. Trelea, The particle swarm optimization algorithm: Convergence analysis and parameter selection, Information Processing Letters, 85, 2003, 317–325.
   Google Scholar
• M. Clerc & J. Kennedy, The particle swarm — explosion, stability, and convergence in a multidimensional complex space, IEEE Transactions on Evolutionary Computation, 6(2), 2002, 58–73.
   Google Scholar
• A.I. El-Gallad, M.E. El-Hawary, A.A. Sallam, & A. Kalas, Enhancing the particle swarm optimizer via proper parameters selection, Canadian Conference on Electrical and Computer Engineering, 2002, 792–797.
   Google Scholar
• Y. Shi & R. Eberhart, A modified particle swarm optimizer, Proc. IEEE World Congr. Computational Intelligence Evolutionary Computation, 1998, 69–73.
   Google Scholar
• Y. Shi & R. Eberhart, Empirical study of particle swarm optimization, Proc. Congr. Evolutionary Computation (CEC 99), Vol. 3, 1999, 1945–1950.
   Google Scholar
• F. van den Bergh & A.P. Engelbrecht, Effects of swarm size on cooperative particle swarm optimizers, Proc. Genetic and Evolutionary Computation Conference 2001, San Francisco, USA, 2001.
   Google Scholar