MULTI-OBJECTIVES ADAPTIVE ARRAY SYNTHESIS USING SPEEDY-PARTICLE SWARM METHOD

A method of computing the optimum element distance position of multi-objectives adaptive linear antenna arrays (MLAA) is developed by taking several objectives (eg. adaptive capability, beamwidth and minimum sidelobe level (SLL)) into consideration. In this paper, the recently invented algorithm, known as Speedy-Particle Swarm Optimization (SpPSO) algorithm is adopted to optimize the distance between the MLAA elements. Different numerical examples of 8- and 12-element MLAA are presented to validate and illustrate the capability of SpPSO for pattern synthesis with a prescribed adaptive angle, controllable beamwidth and minimum SLL. It was found that by employing SpPSO method, the results provide considerable improvement over the conventional array. It is observed that the maximum normalized SLL of -12.27 dB has been achieved by using SpPSO for 8-element MLAA. The proposed SpPSO-based LAA also able to achieve a beampattern with sufficiently low sidelobes for 12-element MLAA by having maximum SLL of -16.46 dB, a desired wider FNBW of 50° and main beam that is pointing to 20°.

[1]  W. T. Li,et al.  AN IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHM FOR PATTERN SYNTHESIS OF PHASED ARRAYS , 2008 .

[2]  Yilong Lu,et al.  Adaptive beamforming for arbitrary array by particle swarm optimization , 2015, 2015 IEEE International Conference on Computational Electromagnetics.

[3]  Constantine A. Balanis,et al.  Antenna Theory: Analysis and Design , 1982 .

[4]  Carlos A. Brizuela,et al.  Design of electronically steerable linear arrays with evolutionary algorithms , 2008, Appl. Soft Comput..

[5]  Carlos A. Brizuela,et al.  A multi-objective approach in the linear antenna array design , 2005 .

[6]  Sakti Prasad Ghoshal,et al.  Improved Particle Swarm Optimization based synthesis of Concentric Circular Antenna Array with non-isotropic elements , 2011, 2011 International Conference on Recent Trends in Information Systems.

[7]  D.H. Werner,et al.  Particle swarm optimization versus genetic algorithms for phased array synthesis , 2004, IEEE Transactions on Antennas and Propagation.

[8]  Mazlina Esa,et al.  Multi-objective Design of Linear Antenna Arrays with Particle Swarm Optimization , 2009 .

[9]  Pavlos I. Lazaridis,et al.  Optimal design of a linear antenna array using particle swarm optimization , 2006 .

[10]  M. Khodier,et al.  LINEAR AND CIRCULAR ARRAY OPTIMIZATION: A STUDY USING PARTICLE SWARM INTELLIGENCE , 2009 .

[11]  Wentao Li,et al.  AN IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHM FOR PATTERN SYNTHESIS OF PHASED ARRAYS , 2008 .

[12]  Munish Rattan,et al.  DESIGN OF A LINEAR ARRAY OF HALF WAVE PARALLEL DIPOLES USING PARTICLE SWARM OPTIMIZATION , 2008 .

[13]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.