Synthesis of non-uniform circular antenna arrays with multiple constraints

Synthesis of non-uniform circular antenna arrays using a hybrid invasive weed optimization is introduced in this paper. The excitation weights and positions of array elements are optimized to reduce the peak side lobe level (PSLL) of the radiation pattern. The method proposed in this paper can effectively constrain the number of the array elements, size of the array, and the angular spacing of the adjacent element simultaneously. The radiation pattern has the constraint of a fixed major lobe beamwidth. Synthesis results of three different circular antenna arrays are given. The results show the effectiveness and feasibility of the proposed synthesis method in non-uniform circular antenna arrays.

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Position-only synthesis of uniformly excited elliptical antenna arrays with minimum element spacing constraint

EURASIP Journal on Wireless Communications and Networking ◽

10.1186/s13638-019-1574-2 ◽

2019 ◽

Vol 2019 (1) ◽

Cited By ~ 1

Author(s):

Hua Guo ◽

Guangrui Jing ◽

Mian Dong ◽

Lijian Zhang ◽

Xiaodan Zhang

Keyword(s):

Radiation Pattern ◽

Antenna Arrays ◽

Beam Width ◽

Optimization Methods ◽

Side Lobe ◽

Side Lobe Level ◽

Invasive Weed Optimization ◽

Pattern Synthesis ◽

Invasive Weed ◽

Minimum Element

AbstractPattern synthesis of non-uniform elliptical antenna arrays is presented in this paper. Only the element positions of the antenna arrays are optimized by the combination of differential evolution (DE) and invasive weed optimization (IWO) to reduce the peak side lobe level (PSLL) of the radiation pattern. In order to avoid the overlap of the array elements, the minimum spacing of the adjacent elements is constrained. Also, the beam width of the radiation pattern can be constrained effectively. Three elliptical antenna arrays that have 8, 12, and 20 elements are investigated. The synthesis results show that the introduced method can present a good side lobe reduction for the radiation pattern. Compared with other optimization methods, the method proposed in this paper can obtain better performance.

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Pattern Synthesis of Planar Nonuniform Circular Antenna Arrays Using a Chaotic Adaptive Invasive Weed Optimization Algorithm

Mathematical Problems in Engineering ◽

10.1155/2014/575860 ◽

2014 ◽

Vol 2014 ◽

pp. 1-13 ◽

Cited By ~ 3

Author(s):

Huaning Wu ◽

Chao Liu ◽

Xu Xie

Keyword(s):

Antenna Arrays ◽

Search Space ◽

Side Lobe ◽

Side Lobe Level ◽

Antenna Element ◽

Invasive Weed Optimization ◽

Pattern Synthesis ◽

Invasive Weed ◽

Fitness Value ◽

Circular Antenna Arrays

A novel invasive weed optimization (IWO) variant called chaotic adaptive invasive weed optimization (CAIWO) is proposed and applied for the optimization of nonuniform circular antenna arrays. A chaotic search method has been combined into the modified IWO with adaptive dispersion, where the seeds produced by a weed are dispersed in the search space with standard deviation specified by the fitness value of the weed. To evaluate the performance of CAIWO, several representative benchmark functions are minimized using various optimization algorithms. Numerical results demonstrate that the proposed approach improves the performance of the algorithm significantly, in terms of both the convergence speed and exploration ability. Moreover, the scheme of CAIWO is employed to find out an optimal set of weights and antenna element separation to obtain a radiation pattern with maximum side-lobe level (SLL) reduction with different numbers of antenna element under two cases with different purposes. The design results obtained by CAIWO have comfortably outperformed the published results obtained by other state-of-the-art metaheuristics in a statistically meaningful way.

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Maximizing main-lobe to the side-lobe level for the non-uniform chaos game planar antenna array using an IWO algorithm

International Journal of Microwave and Wireless Technologies ◽

10.1017/s1759078712000682 ◽

2012 ◽

Vol 4 (6) ◽

pp. 635-646

Author(s):

Ahmed Najah Jabbar ◽

Ali Shaban Hasooni ◽

Muthana Khallil Ibrahim

Keyword(s):

Antenna Array ◽

Antenna Arrays ◽

Side Lobe ◽

Main Lobe ◽

Side Lobe Level ◽

Planar Antenna ◽

Invasive Weed Optimization ◽

Invasive Weed ◽

Chaos Game ◽

Planar Antenna Array

In this study, we present the implementation of invasive weed optimization (IWO) in the maximization of main-lobe to side-lobe level for the non-uniform planar antenna array. The antenna arrays investigated in this study are generated using the chaos game algorithm (CGA) and shaped into selected fractal geometries chosen on the basis of their interesting performance. This CGA is picked out in order to overcome the limitations found in the fractal arrays. All the attained results are compared with the results produced by a well-known optimization algorithm that is the particle swarm optimization (PSO). In all the optimized arrays, IWO shows superior optimization results compared with PSO.

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Design of Non-uniformly Weighted and Spaced Circular Antenna Arrays with Reduced Side Lobe Level and First Null Beamwidth Using Seeker Optimization Algorithm

Swarm, Evolutionary, and Memetic Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-03753-0_4 ◽

2013 ◽

pp. 35-46 ◽

Cited By ~ 2

Author(s):

Gopi Ram ◽

Durbadal Mandal ◽

Sakti Prasad Ghoshal ◽

Rajib Kar

Keyword(s):

Antenna Arrays ◽

Optimization Algorithm ◽

Side Lobe ◽

Side Lobe Level ◽

Seeker Optimization Algorithm ◽

Circular Antenna Arrays ◽

First Null Beamwidth

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A Comparison of Swarm-Based Optimization Algorithms in Linear Antenna Array Synthesis

10.21203/rs.3.rs-233415/v1 ◽

2021 ◽

Author(s):

Ali Durmus ◽

Rifat KURBAN ◽

Ercan KARAKOSE

Keyword(s):

Antenna Array ◽

Radiation Pattern ◽

Antenna Arrays ◽

Heuristic Algorithms ◽

Beam Width ◽

Side Lobe ◽

Side Lobe Level ◽

Linear Antenna ◽

Half Power ◽

Antenna Array Synthesis

Abstract Today, the design of antenna arrays is very important in providing effective and efficient wireless communication. The purpose of antenna array synthesis is to obtain a radiation pattern with low side lobe level (SLL) at a desired half power beam width (HPBW) in far-field. The amplitude and position values of the array elements can be optimized to obtain a radiation pattern with suppressed SLLs. In this paper swarm-based meta-heuristic algorithms such as Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), Mayfly algorithm (MA) and Jellyfish Search (JS) algorithms are compared to realize optimal design of linear antenna arrays. Extensive experiments are conducted on designing 10, 16, 24 and 32-element linear arrays by determining the amplitude and positions. Experiments are repeated 30 times due to the random nature of swarm-based optimizers and statistical results show that performance of the novel algorithms, MA and JS, are better than well-known methods PSO and ABC.

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Position only Antenna Array Synthesis using Normal Distributed Invasive Weed Optimization

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.b6641.129219 ◽

2019 ◽

Vol 9 (2) ◽

pp. 3277-3280

Keyword(s):

Antenna Array ◽

Antenna Arrays ◽

Stochastic Approach ◽

Side Lobe ◽

Linear Antenna ◽

Invasive Weed Optimization ◽

Convergence Properties ◽

Invasive Weed ◽

Linear Antenna Array ◽

Antenna Array Synthesis

Nowadays, low-side lobe antenna arrays are used in many communications systems such as satellite, cellular, radar and wireless communications. The antenna array with low side lobe rates should be designed to avoid noisy contact. A new stochastic approach to synthesize a linear antenna array to suppress normal distributed invasive weed optimization (NDIWO) is proposed in this paper synthesize a linear antenna array to suppress the side lobe levels. NDIWO is applied for optimization of the positions of the antenna elements. A 28-element linear array is designed and synthesized by using the proposed and other popular evolutionary algorithms. The acquired radiation designs are gathered with the calculations like particle swarm optimization (PSO) and differential evolution (DE). The numerical results illustrate that the NDIWO optimized antenna array performs superior over PSO and DE optimized arrays in terms of low PSLL and convergence properties.

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