This paper presents an optimal thinning of a large multiple concentric circular ring arrays of uniformly excited isotropic antennas based on particle swarm optimization method. Using particle swarm optimization 1harshanjali s, side-lobe level is an important metric used in antenna arrays, and depends on the weights and positions in the. Linear antenna array optimization techniques rl haupt in  used genetic algorithm for optimal thinning of linear and 22 particle swarm optimization . The arrays were analyzed employing the method of moments (mom) 1 introduction one of the problems that antenna engineers face is the design of prototype antennas which can simultaneously meet the radiation and integration requirements, of the telecommunication system under development.
Particle swarm optimization, which is called inductive optimization, going from particle to swarm, and which gives successful results in swarm optimizations is preferred to suppress the sidelobes of the circular antenna arrays. This thesis introduces the concept of aperiodic phased arrays and their design via optimization algorithms, specifically particle swarm optimization an axial mode helix is designed as the antenna array element to obtain the required half power beamwidth and bandwidth. Abstract – design of thinned elliptical antenna arrays of uniformly excited isotropic antennas using particle swarm optimization (pso), is reported. Particle swarm optimization (pso)  has shown its potential in solving complex problems related to the design of antenna arrays which are useful for different electromagnetic applications [18-20].
In this paper, the particle swarm algorithm is applied to the optimization of unequally spaced antenna arrays the difference between the peak of main lobe and the peak of the highest side lobe is maximized using the particle swarm algorithm by adjusting the positions and weights of array elements. Enhancing the radiation pattern of phase array antenna using particle swarm optimization doi: 109790/2834-10116069 wwwiosrjournalsorg 62 | page. Particle swarm optimization (pso) is an algorithm first introduced in 1995 that was an outgrowth of a study of the flocking of birds in pso, we have “particles” which move in a semi-random manner in search of the optimum value of a function ƒ. Academiaedu is a platform for academics to share research papers.
The particle swarm optimization program forms a part of a 24 array antenna model, and the whole idea is simulated in matlab environment results obtained are very satisfactory. Particle swarm optimization, phased arrays rocca, haupt: biologically inspired optimization of antenna arrays 1050 the elements are on while the elements are. Phase-only synthesis of linear microstrip patch antenna array using improved local search particle swarm optimization k karuna kumari department of ece, gitam . Comparative study of circular and hexagonal antenna array synthesis using improved particle swarm optimization rajesh bera a , ragini lanjewar a , durbadal mandal a , rajib kar a , sakti prasad ghoshal b. In this paper, the evolutionary algorithm of particle swarm optimization (pso) is applied to synthesis an optimal linear array in the chebychev sense equiripple radiation patterns may be obtained by synthesizing the excitation currents feeding the array or by carefully choosing the interelement .
Dw boeringer, dh werner, particle swarm optimization versus genetic algorithms for phased array synthesis ieee trans antennas propag 52 (3), 771–779 (2004) view article google scholar. Using hardware-based particle swarm method for dynamic optimization of adaptive array antennas gabriella ko´kai department of computer science friedrich-alexander univof erlangen-nuremberg. Particle-swarm optimization in antenna design: optimization of log-periodic dipole arrays abstract: this paper presents a short tutorial and overview of optimization algorithms based on particle-swarm schemes, and their application to solving electromagnetic problems. A feedback particle swarm optimization (fpso) with a family of fitness functions is proposed to minimize sidelobe level (sll) and control null in order to search in a large initial space and converge fast in local space to a refined solution, a fpso with nonlinear inertia weight algorithm is .
Abstract|to deal with pattern synthesis of antenna arrays, a chaotic particle swarm optimization (cpso) is presented to avoid the basic particle swarm optimization. Control of adaptive rectangular antenna arrays using particle swarm optimization virgilio zuniga, ahmet erdogan, tughrul arslan school of engineering and electronics. Particle swarm optimization (pso) is a new, high-performance evolutionary technique, which has recently been used for optimization problems in antennas and electromagnetics. On chebyshev array design using particle swarm optimization of chebyshev linear antenna arrays by considering vari-ous affecting parameters using the pso the .
Particle swarm optimization (pso) algorithm the first the second optimization problem is a broadside antenna array that consists of 42-point sources located . This study is to introduce adaptive particle swarm optimization to the electromagnetic community and demonstrate its multiple-beam antenna arrays have. Swarm optimization is used as the optimization technique which is an iterative based algorithm this algorithm can provide a global best position for the antenna elements which gives improved performance.