SYNTHESIS OF THINNED LINEAR ANTENNA ARRAYS WITH FIXED SIDELOBE LEVEL USING REAL-CODED GENETIC ALGORITHM (original) (raw)

Genetic algorithms in the design and optimization of antenna array patterns

IEEE Transactions on Antennas and Propagation, 1999

In this paper, we propose an optimization method based on real-coded genetic algorithm (GA) with elitist strategy for thinning a large linear array of uniformly excited isotropic antennas to yield the maximum relative sidelobe level (SLL) equal to or below a fixed level. The percentage of thinning is always kept equal to or above a fixed value. Two examples have been proposed and solved with different objectives and with different value of percentage of thinning that will produce nearly the same sidelobe level. Directivities of the thinned arrays are found out and simulation results of different problems are also compared with published results to illustrate the effectiveness of the proposed method.

Application of Genetic Algorithm for Reduction of Sidelobes from Thinned Arrays

2015

Sidelobe reduction is one of the most important aspects in the design of antenna arrays for low Electro Magnetic Interference applications. It can be achieved through non-uniform spacing, amplitude-only synthesis, phase-only synthesis, or a combination of above. Thinning an antenna array not only results in low sidelobes but also reduces cost, weight and design complexity. This paper presents the design of linear array of isotropic elements which generates low sidelobe patterns. The array is excited with prefixed amplitude taper and simultaneously thinned. A Genetic Algorithm is employed to find the optimum thinning configurations. Numerically simulated results are presented for different number of elements.

Review on Linear Array Antenna with Minimum Side Lobe Level Using Genetic Algorithm

Antenna array is formed by assembly of radiating elements in an electrical or geometrical configuration. In most cases the elements are identical. In this paper proposed a very simple and powerful method for the synthesis of linear array antenna and GA. This method reduced the desired level of side lobe level (SLL) as well as to steer the main beam at different-different angle. A new method for adaptive beam forming for a linear antenna arrays using genetic algorithm (GA) are also proposed. Aditya Sharma | Er. Praveen Kumar Patidar"Review on Linear Array Antenna with Minimum Side Lobe Level Using Genetic Algorithm" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14544.pdf

Design of Non-Uniform Antenna Arrays Using Genetic Algorithm

Journal of Wireless Networking and Communications, 2012

The performance of a single-element antenna is somewhat limited. To obtain high directivity, narrow beamwidth, low side-lobes, point-to-point and preferred-coverage pattern characteristics, etc., antenna arrays are used. An antenna array is an assembly of individual radiating antennas in an electrical and geometrical configuration. Nowadays, antenna arrays appear in wireless terminals and smart antennas, so robust and efficient array design is increasingly becoming necessary. In antenna array design, it is frequently desirable to achieve both a narrow beamwidth and a low side-lobe level. In linear antenna arrays, a uniform array yields the smallest beamwidth and hence the highest directivity. It is followed, in order, by the Dolph-Chebyshev and Binomial arrays. In contrast, Binomial arrays usually possess the smallest side-lobes followed, in order, by the Dolph-Chebyshev and uniform arrays.Binomial and Dolph-Chebyshev arrays are typical examples of non-uniform arrays. In this paper we deal only with linear arrays and it is shown that using genetic algorithm it is possible to design a non-uniform array that approximates the beamwidth of a uniform array and having smaller side-lobe level than the Dolph-Chebyshev array. The result is that the designed antenna array exhibits the largest directivity as compared to the uniform, Binomial and Dolph-Chebyshev arrays. In the design, the genetic algorithm is employed to generate the excitation amplitudes of the antenna array.

Synthesis of linear arrays with sidelobe level reduction constraint using genetic algorithm

2008

The synthesis of uniformly spaced linear array geometries with minimum sidelobe level and beamforming capability using genetic algorithms is presented. The iterative process aims not only at matching the desired pattern to the desired one but minimizing the sidelobe level as well; through optimizing the element excitations. Various examples are included to demonstrate the design effectiveness and flexibility namely for switched smart antenna systems applications.

Sidelobe reduction of the low profile multi-subarray antenna by genetic algorithm

AEU - International Journal of Electronics and Communications, 2012

In this paper, the sidelobe of the low profile multi-subarray antenna for satcom on-the-move (SOTM) is reduced by genetic algorithm (GA). The characteristics of the antenna are analyzed theoretically. It is indicated that the sidelobe level of the antenna is difficult to be reduced by amplitude tapering for its dispersed framework. In order to suppress the sidelobe level of the antenna in the whole elevation scan range, the subarray distances are optimized by GA. Two types of the antennas, the fixed-space and the active-space multi-subarray antennas, are analyzed respectively. Then the effects of amplitude perturbation on sidelobe cancellation are discussed under two conditions, i.e., the initial subarray distances and the optimal subarray distances. Simulation results prove the validity of the theoretical analysis, show that the perturbation of subarray distances can suppress the sidelobe level effectively, and the perturbation of amplitude is almost ineffective in sidelobe reduction. The conclusions can be used as the reference to the design of the multi-subarray antenna and other antennas whose array calibrations are discontinuous.

Synthesis of Linear Arrays with Sidelobe Level Reduction Constraint using Genetic Algorithms

International journal of …, 2008

The synthesis of uniformly spaced linear array geometries with minimum sidelobe level and beamforming capability using genetic algorithms is presented. The iterative process aims not only at matching the desired pattern to the desired one but minimizing the sidelobe level as well; through optimizing the element excitations. Various examples are included to demonstrate the design effectiveness and flexibility namely for switched smart antenna systems applications.

Synthesis of a Linear Antenna Array for Maximum Side-lobe Level Reduction

International Journal of Computer Applications, 2014

There are number of Techniques used to reduce Side Lobe Level (SLL) of antenna arrays to save power and improve Quality of Service (QoS) by ensuring maximum radiation in desired direction, several methods are available in literature. It is a well known fact that when an attempt is made to reduce the first sidelobe level of an antenna array, the beamwidth increases. However, in the present work, an array for a specified first side lobe level of-35dB was synthesized using Dolph Chebyshev method. A real-value Genetic Algorithm (RGA) was also used to optimize the current excitations. The weighting vectors are compared. Using these vectors, patterns are generated for arrays of different elements. The resultant patterns are compared and the result shows greater improvement in the SLL reduction from the RGA method without deteriorating the main beamwidth.