Design of Yagi-Uda array using Particle Swarm Optimization

The optimization of Yagi-Uda antenna is a subject of continuous research since its invention because of its multimodal pattern and complexity due to the presence of parasitic elements. Particle Swarm Optimization (PSO) is a new, high performance evolutionary technique, which has recently been used for optimization problems in antennas and electromagnetics. In this paper, PSO has been used to simultaneously optimize the gain, front-to-back ratio, input resistance and beamwidth of Yagi-Uda array. The antenna array geometry with good performance, compared to the results in available literature, has been obtained.

[1]  G. Thiele.  Calculation of the current distribution on a thin linear antenna , 1966 .

[2]  Yong-Chang Jiao,et al.  Synthesis of Circular Antenna Array Using Crossed Particle Swarm Optimization Algorithm , 2006 .

[3]  Frans van den Bergh,et al.  An analysis of particle swarm optimizers , 2002 .

[4]  D.W. Boeringer,et al.  Efficiency-constrained particle swarm optimization of a modified bernstein polynomial for conformal array excitation amplitude synthesis , 2005, IEEE Transactions on Antennas and Propagation.

[5]  Mohammed H. Bataineh,et al.  Synthesis of Aperiodic Linear Phased Antenna Arrays Using Particle Swarm Optimization , 2006 .

[6]  Douglas H. Werner,et al.  Genetic Algorithms in Electromagnetics , 2007 .

[7]  R. J. W. Hodgson,et al.  Partical Swarm Optimization Applied To The Atomic Cluster Optimization Problem , 2002, GECCO.

[8]  Andries Petrus Engelbrecht,et al.  Global optimization algorithms for training product unit neural networks , 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

[9]  Randy L. Haupt.  Thinned arrays using genetic algorithms , 1994 .

[10]  C. Christodoulou,et al.  Linear array geometry synthesis with minimum sidelobe level and null control using particle swarm optimization , 2005, IEEE Transactions on Antennas and Propagation.

[11]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[12]  David K. Cheng,et al.  Optimum element spacings for Yagi-Uda arrays , 1972 .

[13]  Russell C. Eberhart,et al.  A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.

[14]  Korany R. Mahmoud,et al.  A Comparison Between Circular and Hexagonal Array Geometries for Smart Antenna Systems Using Particle Swarm Optimization Algorithm , 2007 .

[15]  Yuhui Shi,et al.  Particle swarm optimization: developments, applications and resources , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

[16]  Y. Rahmat-Samii,et al.  Particle swarm optimization in electromagnetics , 2004, IEEE Transactions on Antennas and Propagation.

[17]  William T. Joines,et al.  Design of Yagi-Uda antennas using genetic algorithms , 1997 .

[18]  Andries Petrus Engelbrecht,et al.  Fundamentals of Computational Swarm Intelligence , 2005 .

[19]  D. Cheng,et al.  Gain optimization for Yagi-Uda arrays , 1991, IEEE Antennas and Propagation Magazine.

[20]  Yahya Rahmat-Samii,et al.  Particle swarm optimization for reconfigurable phase‐differentiated array design , 2003 .

[21]  David K. Cheng,et al.  Optimum element lengths for Yagi-Uda arrays , 1975 .