نتایج جستجو برای: sidelobe level sll genetic algorithm ga
تعداد نتایج: 2284154 فیلتر نتایج به سال:
Cultural algorithm (CA) is a new evolutionary program inspired by sociology and archaeology theories that assisting formulating cultural evaluation. Its use to solve optimization problems. This paper analyzed the beamforming of uniform circular antenna array (UCAA) via using CA algorithm. The sidelobe level (SLL) minimized adjusting appropriate weight for each element. In addition, optimal beam...
In large antenna arrays possibility of getting faults for some of the radiating elements can not be denied at all the times. In such situation the pattern of the array gets distorted mostly with an increasing sidelobe level (SLL) and removal of the nulls, if any, from its desired position. In this paper a healing system using particle swarm optimization (PSO) is developed for these failed anten...
With a goal to optimize the element positions to reduce the peak sidelobe level (PSLL) of the array pattern, a modified real Genetic Algorithms (MGA) for the synthesis of sparse linear arrays is described. The multiple optimization constrains include the number of elements, the aperture and the minimum element spacing. The advanced new approach reduces the size of the searching area of GA by me...
A concentric circular antenna array (CCAA) consists of elements positioned on the periphery of imaginary circles on a plane having a common centre and different radii. The simplest way to feed the elements of such an array is to use uniform excitation. However, with a non-uniform excitation profile, considerable reduction of the side lobe level (SLL) may be achieved at the cost of the added com...
there are many approaches for solving variety combinatorial optimization problems (np-compelete) that devided to exact solutions and approximate solutions. exact methods can only be used for very small size instances due to their expontional search space. for real-world problems, we have to employ approximate methods such as evolutionary algorithms (eas) that find a near-optimal solution in a r...
Due to the importance of beamforming in improving communication systems performance, this paper presents a novel study planar antenna arrays (PAAs) utilizing Improved Grey Wolf Optimization (I-GWO) algorithm with goal minimizing peak sidelobe level (PSLL). It is very important suppress (SLL) because it minimizes interference and received noise. A two-dimensional (2D) optimization method present...
In this paper, an effective synthesis method for sparse uniformly excited concentric ring array (CRA) element positions featuring a minimum sidelobe level (SLL) is presented. This based on the chaos sparrow search algorithm (CSSA), which can optimal solution under multiple constraints. By improving constraint number of elements each ring, range further reduced, and global ability effectively im...
A design problem of non-uniform circular antenna arrays for maximum reduction of both the side lobe level (SLL) and first null beam width (FNBW) is dealt with. This problem is modeled as a simple optimization problem. The method of Firefly algorithm (FFA) is used to determine an optimal set of current excitation weights and antenna inter-element separations that provide radiation pattern with m...
For high performance communication systems, Side Lobe Level (SLL) reduction and improved directivity are the goal of antenna designers. In the recent years, many optimization techniques of antenna design are occupying demanding place over the analytical techniques. Though they have contributed attractive solutions, it is often obvious to select one that meets the particular design need at hand....
Antenna array design is one of the most imperative electromagnetic optimization problem of current interest. In the antenna arrays the side lobe level is main problem which causes waste of energy. In this paper, different evolutionary algorithms are presented for reduction of side lobe level in antenna array. The invasive weed optimization(IWO) algorithm outperform PSO, ACO, and GA based on met...
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