Please use this identifier to cite or link to this item:

`http://hdl.handle.net/11455/17987`

標題: | 使用蘊含分解機制之PSO於共平面波饋入型單極天線阻抗之設計 CPW-fed Monopole Antenna Characterized by Using Particle Swarm Optimization Incorporating Decomposed Objective Functions |

作者: | 沈孟呈 Shen, Meng-Cheng |

關鍵字: | CPW-fed antennna;共平面波饋入型天線;particle swarm optimization;decomposed objective function;equivalent circuit;阻抗粒子尋優演算法;分解機制函數;等效電路 |

出版社: | 應用數學系所 |

引用: | References [1] M. Abdo-Tuko, M. Naghed and 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 Techniques, Vol. 45, pp. 1307-1315, Aug. 1993. [2] G. Tzeremes, T. S. Liao, P. K. L. Yu and C. G. Christodoulou, “Computation of equivalent circuit models of optically driven CPW-fed slot antennas for wireless communications,” IEEE Antennas and Wireless Propagation Letter, Vol. 2, pp. 140-142, 2003. [3] A. Kerkhoff, H. Ling, “The Design and Analysis of Miniaturized Planar Monopoles,” IEEE Internal Symposium on Antennas and Propagation, Vol. 4, pp. 30-33, Jun. 2002. [4] N. P. Agrawall, G. Kumar, K. P. Ray, “Wide-Band Planar Monopole Antennas,” IEEE Transactions and Antennas and Propagation, Vol. 46, pp. 294-295, February 1998. [5] J. A. Evans, M. J. Ammann, “Planar Trapezoidal and Pentagonal Monopoles with Impedance Bandwidths in Excess of 10:1,” IEEE International Symposium on Antennas and Propagation, pp. 1558-1561, 1999. [6] S. Y. Lin, “A wide-band printed planar monopole for mobile handset,” Microwave and Optical Technology Letters, Vol. 48, No. 6, pp. 1092-1095, June 2006. [7] K. L. Wong, G. Y. Lee, and T. W. Chiou, “A Low-Profile Planar Monopole Antenna for Multiband Operation of Mobile Handsets,” IEEE Transactions on Antennas and Propagation, Vol. 51, No. 1, pp. 121-125, January 2003. [8] M. J. Ammann and Z. N. Chen, “A wide-band shorted planar monopole with bevel,” IEEE Trans. Antennas Propag., Vol. 51, No. 4, pp. 901-903, 2003. [9] Z. N. Chen, “Broadband planar monopole antenna,” IEE Proc. Microwaves, Antennas and Propagation, Vol. 147, No.6, pp. 526-528, 2000 [10] J. Kennedy and W. M. Spears, “Matching algorithms to problems: an experimental test of the particle swarm and some genetic algorithms on multi modal problem generator,” Proc. IEEE Int. Conf, Evolutionary Computation, 1998. [11] J. Kennedy and R. Eberhart, “Particle swarm optimization,” Proc. of IEEE Int. Conf. Neural Networks, pp. 1942-1948, 1995. [12] R. C. Eberhart and Y. Shi, “Evolving artificial neural networks,” Proc. 1998 Int. Conf. Networks and Brain, Beijing, P. R. C., 1998. [13] J. Robinson, S. Sinton, and Y. Rahmat-Samii, “Particle swarm, genetic algorithm, and their hybrids: optimization of a profiled corrugated horm antenna,” Proc. IEEE Int. Symposium Antennas Propagation, San Antonio, Vol. 1, pp. 314-317, 2002. [14] C. R. Mouser and S. A. Dunn, “Comparing genetic algorithms and particle swarm optimisation for an inverse problem exercise,” Australian and New Zealand Industrial and Applied Mathematics Journal, 46(E) pp. C89-C101, 2005. [15] W. P. Dou and Y. W. M. Chia, “Novel meandered planar inverted-F antenna for triple-frequency operation,” Microwave Opt. Technol. Lett., Vol. 27, No. 2, pp. 58-60, Oct. 2000. [16] F. R. Hsiao and K. L. Wong, “Compact planar inverted-F patch antenna for triple-frequency operation,” Microwave Opt. Technol. Lett., Vol. 33, No. 6, pp. 459-462, Jun. 2002. [17] K. V. Puglia, “Electromagnetic simulation of some common balun structures,” IEEE Microwave Magazine, pp. 56-61, Sept. 2002. [18] I. Pele, A. Chouseeaud and S. Toutain, “Simultaneous modeling of impedance and radiation pattern antenna for UWB pulse modulation,” Proc. of IEEE International Symposium on Antennas and Propagation, Vol. 2, pp. 1871-1874, June 2004. [19] Y. S. Lin and C. H. Chen, “Lumped-component impedance-transforming uniplanar transitions and their antenna applications,” IEEE Transactions on Microwave Theory and Techniques, Vol. 52, No. 4, pp. 1157-1165, April 2004. [20] Chien-Chang Chen and Cheng-Shian Lin, “A GA-based Nearly Optimal Image Authentication Approach,” International Journal of Innovative Computing, Information and Control (IJICIC), Vol. 3, No. 3, pp. 631-640, 2007. [21] Karim Kemih, Omar Tekkouk and Salim Filali, “Constrained Generalised Predictive Control with Estimation by Genetic Algorithm for a Magnetic Levitation System,” International Journal of Innovative Computing, Information and Control (IJICIC), Vol. 2, No. 3, pp. 543-552, 2006. [22] Nobuhiro Iwasaki and Keiichiro Yasuda, “Adaptive Particle Swarm Optimization Using Velocity Feedback,” International Journal of Innovative Computing, Information and Control (IJICIC), Vol. 1, No. 3, pp. 369-380, 2005. [23] Xingjuan Cai, Zhihua Cui, Jianchao Zeng and Ying Tan, “Performance-dependent Adaptive Particle Swarm Optimization,” International Journal of Innovative Computing, Information and Control (IJICIC), Vol. 3, No. 6(B), pp. 1697-1706, Dec. 2007. [24] Jianming Li, Danling Wan, Zhongxian Chi and Xiangpei Hu, “An Efficient Fine-grained Parallel Particle Swarm Optimization Method Based on GPU-acceleration,” International Journal of Innovative Computing, Information and Control (IJICIC), Vol. 3, No. 6(B), pp. 1707-1714, Dec. 2007. [25] Y. Shi and R. C. Eberhart, “Parameter selection in particle swarm optimization,” in Lecture Notes in Computer Science—Evolutionary Programming VII, Vol. 1447, Mar. 1998, pp. 591-600. [26] James A. Freeman and David M. Skapura, Neural Networks : Algorithm, Applications, and Programming Techniques, Assison Wesley, 1992. [27] S. Haykin, Neural networks: a comprehensive foundation, 2nd Ed., Upper Saddle River, Prentice-Nall, 1999. [28] A. Farnni, A. Manunza, M. Marchesi, and F. Pilo, “Tabu Search metaheuristics for global Optimization of electromagnetic problems,” IEEE Trans. On Mag., Vol. 34, pp. 2960-2963, Sept. 1998. [29] J. H. Holland, Adaptation in natural and artificial systems. Ann Arbor, MI: The University of Michigan Press, 1975. [30] D. E. Goldberg, Genetic algorithms in search, optimization and machine learning. Reading, MA: Addison-Wesley, 1989. [31] S. Janson and M. Middendorf, “A hierarchical particle swarm optimizer and its adaptive variant,” IEEE Transactions on Systems, Man and Cybernetics- Part B: Cybernetics, Vol. 35, No. 6, pp. 1272-1282, Dec. 2005. [32] W. C. Liu, “Design of a multi-band CPW monopole antenna using a particle swarm optimization approach,” IEEE Transactions on Antenna and Propagation, Vol. 53, No. 10, pp. 3273-3279, 2005. [33] J. Robinson and Y. Rahmat-Samii, “Particle swarm optimization in electromagnetics,” IEEE Transactions on Antenna and Propagation, Vol. 52, No. 2, pp. 397-407, Feb. 2004. [34] H. C. Chen, M. C. Shen, and C. C. Hsu, ”A Numerically Stable NLMS Algorithm by using the Modified Particle Swarm Optimization Approach,” Proceedings of 2006 CACS Automatic Control Conference, Taiwan, Nov. 10-11, 2006. [35] J. Kennedy, “The particle swarm: Social adaptation of knowledge,” in Proc. IEEE Int. Conf. Evolutionary Computation, pp. 303-308, 1997. [36] J. Kennedy and R. Eberhart, “A discrete binary version of the particle swarm algorithm,” in Proc. IEEE Int. Conf. Systems, Man, Cybernetics, Computational Cybernetics, Simulation, Vol. 5, pp. 4104-4108, 1997. [37] R. C. Eberhart and Y. Shi, “Particle swarm optimization: Developments, applications and resources,” in Proc. IEEE Int. Conf. Evolutionary Computation, Vol. 1, pp. 81-86, 2001. [38] R. C. Eberhart and Y. Shi, “Comparing inertia weights and constriction factors in particle swarm optimization,” in Proc. IEEE Int. Congr. Evolutionary Computation, Vol. 1, pp. 84-88, 2000. [39] Y. Shi and R. C. Eberhart, “Comparison between genetic algorithms and particle swarm optimization,” in Lecture Notes in Computer Science Evolutionary Programming VII, Vol. 1447, Proc. 7th Int. Conf. Evolutionary Programming, pp. 611-616, Mar. 1998. [40] H. C. Chen and M. C. Shen, “Improving Numerical Stability of the NLMS filter by using the PSO-based Variable Step Size,” Workshop on Consumer Electronics and Signal Processing, Taiwan, 2006. [41] T. Krink, J. S. Vesterstrom, and J. Riget, “Particle swarm optimization with spatial particle extension,” in Proc. IEEE Congr. Evolutionary Computation 2002, Vol. 2, Honolulu, HI, pp. 1474-1479, May 2002. [42] J. Kennedy and W. M. Spears, “Matching algorithms to problems: an experimental test of the particle swarm and some genetic algorithms on the multimodal problem generator,” in Proc. Int. Conf. Evolutionary Computation, pp. 78-83, 1998. [43] J. Kennedy and R. Mendes, “Neighborhood topologies in fully-informed and best-of-neighborhood particle swarms,” in Proc. IEEE Int. Workshop on Soft Computing in Industrial Applications, pp. 45-50, 2003. [44] R. Eberhart, and Y. Shi, “Comparing Inertia Weights and Constriction Factors in Particle Swarm Optimization,” Proc. Congress on Evolutionary Computation, San Diego, CA, pp 84-88, 2000. [45] B. Zao, C. X. Guo and Y. J. Cao, “Improved particle swarm optimization algorithm for OPF problems,” Proc. of IEEE Power Systems Conference and Exposition, Vol. 1, pp. 233-238, Oct. 2004. [46] J. S. Chen, “A CPW-fed dual-frequency rectangular patch antenna,” Microw. Opt. Technol. Lett., 34, (5), pp. 397-398, 2002. [47] W. Wang, S. S. Zhong and S. B. Chang, “A novel wideband coplanar-fed monopole antenna,” Microwave Opt. Tech. Lett., Vol. 43, pp. 50-52, 2004. [48] S. Y. Lin, “Multiband folded planar monopole antenna for mobile handset,” IEEE Trans. Antennas Propag., Vol. 52, pp. 1790-1794, Jul. 2004. [49] D. U. Sim, J. I. Moon, and S. O. Park, “An internal triple-band antenna for PCS/IMT-2000/Bluetooth applications,” IEEE Antennas Wireless Propag. Lett., Vol. 3, pp. 23-25, 2004. [50] J. M. Laheurte, “Switchable CPW-fed slot antenna for multifrequency operation,” Electron. Lett., Vol. 37, No. 25, pp. 1498-1499, Dec. 2001. [51] X. L. Liang, S. S. Zhong, and W. Wang, “Tapered CPW-fed printed monopole antenna,” Microwave Opt. Technol. Lett., Vol. 48, pp. 1411-1413, 2006 [52] K. H. Y. Ip, T. M. Y. Kan, and G. V. Eleftheriades, “A single-layer cpw-fed active patch antenna,” IEEE Microwave Guided Wave Lett., Vol. 10, pp. 64-66, Feb. 2000. [53] David K. Cheng, Field and Wave Electromagnetics, 2nd Ed., Assison Wesley, 1989. [54] Warren L. Stutzman and Gary A, Thiele, Antenna Theory and Design, 2nd Ed., Wiley, 1998. [55] Wen-Chung Liu and Chao-Ming Wu, 2006 Mar., “CPW-fed Shorted F-shaped Monopole Antenna for 5.8 GHz RFID Application,” Microwave and Optical Technology Letters, 2006. [56] L. Giauffrat and J. M. Laheurte, “Parametric study of the coupling aperture in cpw fed microstrip antennas,” IEE Proc. Microwaves, Antennas and Propagation, pp. 169-174, 1999. [57] D. R. Jahagirdar and R. D. Stewart, “Nonleaky conductor-backed coplanar waveguide rectangular microstrip patch antenna,” IEEE Microwave and Guided Wave Letters, pp. 115-117, 1990. [58] S. Baskar, A. Alphones, P. N. Suganthan and J. J. Liang, “Design of Yagi-Uda antennas using comprehensive learning particle swarm optimization,” IEE Proceedings of Microwave Antennas Propagation, Vol. 152, No. 5, pp. 340-346, Oct. 2005. [59] C. F. Juang, “A hybrid of genetic algorithm and particle swarm optimization for recurrent network design,” IEEE Transactions on Systems, Man, and Cybernetics- Part B: Cybernetics, Vol. 34, No. 2, pp. 997-1006, April 2004. [60] W. P. Huang, L. F. Zhou and J. X. Qian, “FIR filter design: frequency sampling filters by particle swarm optimization algorithm,” Proc. of IEEE Third International Conference on Machine Learning and Cybernetics, pp. 2322-2327, Aug. 2004. [61] R. C. Eberhart and Y. Shi, “Tracking and optimizing dynamic systems with particle swarms,” Proc. of IEEE Congress on Evolutionary Computation, Seoul, Korea, pp. 94-97, 2001. [62] K. Veeramachaneni, L. A. Osadciw and P. K. Varshney, “An adaptive multimodal biometric management algorithm,” IEEE Transactions on System, Man and Cybernetics-Part C, Vol. 35, No. 3, pp. 344-356, 2005. [63] A. Ratnaweera, S. K. Halgamuge and H. C. Watson, “Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients,” IEEE Transactions on Evolutionary Computation, Vol. 8, No. 3, pp. 240-255, June 2004. [64] D. J. Krusienski and W. K. Jenkins, “Design and performance of adaptive systems based on structured stochastic optimization strategies,” IEEE Circuits and Systems Magazine, First Quarter, pp. 8-20, 2005. [65] Y. Tsutsumi, H. Kanaya and K. Yoshida, “Design and performance of an electrically small slot loop antenna with a miniaturized superconducting matching circuit,” IEEE Transactions on Applied Superconductivity, Vol. 15, No. 2, pp. 1020-1023, June 2005. [66] Z. N. Chen, and Y. W. M. Chia, “Broadband monopole antenna with parasitic planar element,” Microwave Opt. Technol. Lett., 27, (3), pp. 209-210,2000. [67] C. P. Wen, “Coplanar waveguide : A surface strip transmission line suitable for nonreciprocal gyromagnetic device application,” IEEE Transactions on Microwave Theory and Techniques, Vol. 17, pp. 1087-1090, Dec. 1969. |

摘要: | 本文嘗試一種改良的粒子群優(PSO)技巧，以之最佳化一個共平面波導饋入型(CPW-fed)單極天線饋入點的等效阻抗，藉以建立天線幾何參數與電路元件值之間關聯性，在頻寬需求下滿足其阻抗響應，使天線的設計更具系統化。與傳統PSO不同處，本文提出的改善方法為：關於目標函數的求值過程中，係經由幾個不同的權重函數將目標函數值解析，所解析出來的各個目標函數值再分別對應到粒子中指定的一個或多個因數；如此，可以解決目標函數維度不足的問題，避免粒子被過度的演化。且針對一個實際設計出來的共平面波導饋入型單極天線進行的電腦模擬，結果顯示本文用以改善粒子尋優的技巧確實可以克服上述維度不足的問題。 A systematic design strategy for Coplanar Waveguide fed (CPW-fed) monopole antennas is developed in this work by using an improved Particle Swarm Optimization (PSO) to determine the optimized values of an equivalent circuit's components. The impedance response on the desired frequency band can approximate that of the antenna at the feed point. Owing to the problems of information deficiency in the objective function, optimized results via conventional PSOs generally have failed to satisfy the expected requirements. An improved PSO incorporating a Decomposed Objective Function (PSO-DOF) is therefore proposed to overcome this problem. The objective function is first decomposed into a number of portions by using a set of weighting functions, and then each decomposed portion is used to evolve a corresponding group of factors in a particle. Because of the results optimized via the proposed PSO-DOF, the relationship between the antenna geometrical dimensions and circuit components can be established as a guideline for adjusting the antenna configuration to meet the desired specifications. Simulation results have demonstrated that the PSO-DOF is superior to the other PSO schemes in characterizing an equivalent circuit of a CPW-fed monopole antenna at the feed point, and successfully addressing the issue of information deficiency in the objective function. |

URI: | http://hdl.handle.net/11455/17987 |

其他識別: | U0005-1605200808271300 |

Appears in Collections: | 應用數學系所 |

Show full item record

TAIR Related Article

#### Google Scholar^{TM}

Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.