Antenna arrays, optimization algorithms, side lobe level (sll) 1 introduction higher directivity is the basic requirement in point-point communication, radars and space applications this goal, up 22 particle swarm optimization neighborhood random position and evaluate the. Ssrg international journal of electronics and communication engineering issn: 2348 – 8549 wwwinternationaljournalssrgorg page 17 performance analysis of smart antenna using particle swarm optimization algorithm 1(electronics and communication ssrg international journal of electronics and communication engineering (ssrg-ijece). Antenna array are center-fed by voltage generators vi and the respective currents distributions induced by the generators and the radiators’ mutual interaction are denoted as i i ( z ), where i is the radiator index. Particle swarm optimization, differential evolution, gaussian distribution, micro strip rectangular patch antenna, hfss phased antenna array synthesis has been studied over the last few decades several evolutionary algorithms such as genetic algorithm (ga) [3-10], simulated annealing [11], particle. A new nature inspired meta-heuristic optimization algorithm, accelerated particle swarm optimization (apso) [19], a variant of pso is used for the synthesis of linear array to obtain the lowest possible sll.

Using hardware-based particle swarm method for dynamic optimization of adaptive array antennas ability of the particle swarm optimization (pso) for the em- ber of array antenna systems can be placed within this envi-ronment. The use of the particle swarm optimization (pso) tech- nique [6, 7] to determine an optimum set of weights and antenna element separations for circular arrays that pro. 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. Keywords: particle swarm optimization, circular array,optimum weights, beam width introduction in global synthesis of antenna arrays that generate a desired radiation pattern is a highly non-linear optimization.

Adaptive antenna arrays using particle swarm optimization 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. Particle swarm optimization (pso) is a new, high-performance evolutionary technique, which has recently been used for optimization problems in antennas and electromagnetics it is a global optimization technique-like genetic algorithm (ga) but. Hybrid evolutionary algorithm genetical swarm optimization optimization of 2d aperiodic antenna arrays for both e and h planes and for both modes are also expanded to multi-objective cases in amodiﬁed particle swarm optimization algorithm for a square patch.

In this paper, particle swarm optimization (pso) method, which represents a recent approach for optimization problems in electromagnetic, is applied for array pattern synthesis of hexagonal array (ha) and concentric hexagonal array (cha) of uniformly excited isotropic antennas which can generate. The quantum pso algorithm (qpso) the qpso is applied first to linear array antenna synthesis, which is one of the standard problems used by antenna antenna (dra) as an optimization problem, the qpso algorithm was able to find a swarm optimization particle swarm optimization,”. Based on the hybrid particle swarm optimiser with breeding and subpopulations algorithm, and the linear antenna array synthesis was modelled as a mono-objective optimization. Particle swarm optimization, phased arrays i introduction rocca, haupt: biologically inspired optimization of antenna arrays 1048 (a) (b) fig 2 behavior: (a) of the fitness function and of the sinr for the best solution defined by means of the rocca, haupt: biologically inspired optimization of antenna arrays 1050 the elements are. Abstract this paper presents an optimized design of log periodic dipole antenna (lpda) for gsm phase (i and ii), wimax, bluetooth ®, wi-fi and 3g mobile communication bandsfirst, the lpda is designed by evaluating its parameters and then it is optimized by using evolutionary technique called particle swarm optimization (pso.

Particle swarm optimization (pso) [17] has shown its potential in solving complex problems related to the design of antenna arrays which are useful for different electromagnetic applications [18-20. 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. This paper presents a novel optimization technique named as modified spider monkey optimization (msmo) for the synthesis of linear antenna array (laa) the proposed method is inspired from a recently developed spider monkey optimization (smo) swarm intelligent technique the competitiveness of smo. 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.

Antenna arrays : performance limits and geometry optimization by peter joseph bevelacqua a dissertation presented in partial fulfillment of the requirements for the degree. Particle swarm optimization (pso) is a new, high-performance evolutionary technique, which has recently been used for optimization problems in antennas and electromagnetics it is a global optimization technique-like genetic algorithm (ga) but has less computational cost compared to ga in this paper, pso has been used to optimize the gain, impedance, and bandwidth of yagi-uda array. Arrays using particle swarm optimization rajesh bera, jibendu sekhar roy abstract – design of thinned elliptical antenna arrays of uniformly excited isotropic antennas using particle swarm optimization (pso), is reported thinned arrays can generate directive beam with minimum side lobe level (sll) without. Antenna arrays w-b wang y school of electric information xihua university, chengdu, sichuan 610039, china china abstract|to deal with pattern synthesis of antenna arrays, a chaotic particle swarm optimization (cpso) is presented to avoid the premature convergence by fusing with the ergodic and stochastic chaos, the novel algorithm.

- Improved particle swarm optimization based hyper beamforming of linear antenna arrays gopi ram 1, durbadal mandal , rajib kar , andsakti prasad ghoshal.
- Optimization of micro strip antennas arrays using adaptive particle swarm optimization for maximum side-lobe reduction sidi-mohamed meriah, h chaker, and ft bendimerad telecom laboratory department of electronic engineering university of tlemcen, algeria [email protected]
- Particle swarm optimization (pso) algorithm the first problem is finding the maximal forward gain of a yagi antenna the second problem is finding the optimal feeding of a broadside antenna array the optimization problems have 6 and 20 optimization variables, respectively the preferred values of the parameters of the.

The particle swarm optimization algorithm can improves the global search ability by adding a constriction factor in this paper, the algorithm is applied to pattern optimization of a 37-element hexagon antenna array. 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.

Particle swarm optimization of antenna arrays

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