Thinned phased array antenna is useful for Radar and satellite communications. Main drawback of phased array antenna is generation of side lobes and grating lobes when the beam is titled from broadside direction toward the end-fire direction. This paper reports the optimization of thinned phased array antenna using genetic algorithm (GA). By varying the tilt angle form broadside direction main ...

In this paper, an evolutionary optimization technique, Particle Swarm Optimization with Constriction Factor and Inertia Weight Approach (PSOCFIWA) is adopted for the complex synthesis of three-ring Concentric Circular Antenna Arrays (CCAA) with non-isotropic elements and without and with central element feeding. It is shown that by selection of a fitness function which controls more than one pa...

In this paper, the Invasive Weeds optimization( IWO) is exploited to produce the array radiation pattern that is nearest to the desired objective which exhibits sidelobe level (SLL) suppression and/or null placement. The inter-element position of even element Linear Arrays Array (LAA) is optimized and relocated whilst maintaining uniform excitation over the array aperture and the phase of the a...

It is generally believed genetic algorithm (GA) is superior to particle swarm optimization (PSO) while dealing with the discrete optimization problems. In this paper, a suitable mapping method is adopted and the modified PSO can effectively deal with the discrete optimization problems of linear array pattern synthesis. This strategy has been applied in thinned linear array pattern synthesis wit...

Design of thinned semi-elliptical and quarter-elliptical antenna arrays, with uniform excitation and uniform spacing using genetic algorithm (GA) optimization, is presented in this paper. Thinned arrays produce narrow directive beam without causing major degradation of fully populated antenna arrays. Semi-elliptical array contains antenna elements along half of the elliptical geometry and quart...

Antenna design problems often require the optimization of several conflicting objectives such as gain maximization, sidelobe level (SLL) reduction and input impedance matching. Multiobjective Evolutionary Algorithms (MOEAs) are suitable optimization techniques for solving such problems. An efficient algorithm is Generalized Differential Evolution (GDE3), which is a multi-objective extension of ...

Linear and planar antenna arrays are synthesized to have maximum directivity for a specified sidelobe level. The directivity is maximized subject to a given SLL. The beamwidth and the zeros of array factor are studied as well as the directivity. Maximum directivity-arrays are compared through some examples with super-directive, uniform, Dolph-Chebyshev and Riblet-Chebychev arrays to find a comp...

In this paper, a linear series fed Yagi-like antenna array is introduced leading to an end-fire fan beam with low sidelobe level, SLL, high front to back ratio, F/B, and wide impedance bandwidth. The array can provide −29 dB SLL at centre frequency of 16.26 GHz, −20 dB SLL bandwidth of 7.5%, 23 dB F/B and 10.6% impedance bandwidth. Further improvement in SLL can be achieved by extending narrow ...

Traditional optimization methods are not well suitable for thinning large arrays to obtain a low sidelobe level (SLL). The chaotic binary particle swarm optimization (CBPSO) algorithm is presented as a useful alternative for the synthesis of thinned arrays. The proposed algorithm can be improved by nonlinear inertia weight with chaotic mutation to increase the diversity of particles. Two exampl...

In this paper, optimal designs of three-ring concentric circular array antennas (CCAA) without and with central element feeding are reported. For each design set, optimal current excitations and radii are determined with the objective of maximum Sidelobe Level (SLL) reduction. The optimization technique adopted is Novel Particle Swarm Optimization (NPSO). To enhance the optimization performance...