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

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
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.

Synthesis of non-uniform circular antenna arrays with multiple constraints

2017 ◽  
Vol 10 (3) ◽  
pp. 368-375
Author(s):  
Hua Guo ◽  
Lin Cui ◽  
Xiaodan Zhang ◽  
Yameng Jiao
Keyword(s):  
Radiation Pattern ◽  
Antenna Arrays ◽  
Synthesis Method ◽  
Side Lobe ◽  
Side Lobe Level ◽  
Multiple Constraints ◽  
Invasive Weed Optimization ◽  
Invasive Weed ◽  
Adjacent Element ◽  
Circular Antenna Arrays

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.

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

2019 ◽  
Vol 2019 (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.

scholarly journals Amplitude only Low Side-lobe Level Array Pattern Synthesis using Cauchy mutated Invasive Weed Optimization

2019 ◽  
Vol 9 (2) ◽  
pp. 784-788
Keyword(s):  
Antenna Arrays ◽  
Communication Systems ◽  
Systems Design ◽  
Optimization Method ◽  
Side Lobe ◽  
Side Lobe Level ◽  
Antenna Element ◽  
Pattern Synthesis ◽  
Invasive Weed ◽  
Crucial Component

Antenna arrays are prominently used in satellites, radars mobile and wireless communication systems. Design of an antenna array with minimum side projections is the crucial component for noise free communications. There are various nature inspired optimization method have been suggested to optimize the peak side projections. To overcome low solution accuracy and low convergence rate, we are using newly developed Cauchy mutated invasive and optimization (CMIWO) to minimize the peak side projection levels in the radiation pattern. CMIWO is adapted to reduce the amplitude of the each antenna element. We have used 24, 32, and 64 element linear array of antenna for the synthesis. Based on the results the CMIWO produces suggestive reduction in peak side projections when contrasted with other array of antennas

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

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.

scholarly journals Thinning of Concentric Circular Antenna Arrays Using Improved Binary Invasive Weed Optimization Algorithm

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Huaning Wu ◽  
Chao Liu ◽  
Xu Xie
Keyword(s):  
Antenna Arrays ◽  
Optimization Algorithm ◽  
Optimization Technique ◽  
Side Lobe Level ◽  
Circular Array ◽  
Invasive Weed Optimization ◽  
Pattern Synthesis ◽  
Invasive Weed ◽  
Circular Arrays ◽  
Concentric Circular Arrays

This study presents a novel optimization algorithm based on invasive weed optimization (IWO) for reduction of the maximum side lobe level (SLL) with specific half power beam width (HPBW) of thinned large multiple concentric circular arrays of uniformly excited isotropic elements. IWO is a powerful optimization technique for many continuous problems. But, for discrete problems, it does not work well. In this paper, the authors propose an improved binary IWO (IBIWO) for pattern synthesis of thinned circular array. The thinning percentage of the array is kept equal to or more than 50% and the HPBW is attempted to be equal to or less than that of a fully populated, uniformly excited, and half wavelength spaced concentric circular array of the same number of elements and rings. Simulation results are compared with previous published results of DE, MPSO, and BBO to verify the effectiveness of the proposed method for concentric circular arrays.

scholarly journals Pattern Synthesis of Time-Modulated Array Antenna Based on an Improved Invasive Weed Optimization Method

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Zhenkai Zhang ◽  
Xinxing Liu ◽  
Bing Zhang ◽  
Hailin Li
Keyword(s):  
Objective Function ◽  
Pulse Sequence ◽  
Optimization Method ◽  
Side Lobe ◽  
Side Lobe Level ◽  
Invasive Weed Optimization ◽  
Pattern Synthesis ◽  
Invasive Weed ◽  
Objective Function Values ◽  
Novel Strategy

In this paper, pattern synthesis through time-modulated linear array is studied, and a novel strategy for harmonic beamforming in time-modulated array is proposed. The peak side lobe level is designed as optimization objective function, and the switch-on time sequence of each element is selected as optimization variable. An improved invasive weed optimization (IWO) algorithm is developed in order to determine the optimal parameters describing the pulse sequence used to modulate the excitation weights of array elements. Representative results are reported and discussed to point out potentialities and advantages of the proposed approach, which can obtain lower objective function values.

Evolution of conformal antenna design with the aid of probability improved crow search algorithm

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nama Ajay Nagendra ◽  
Lakshman Pappula
Keyword(s):  
Antenna Arrays ◽  
Search Algorithm ◽  
Fundamental Problem ◽  
Side Lobe ◽  
Side Lobe Level ◽  
Antenna Element ◽  
Content Type ◽  
Conformal Antenna ◽  
Adopted Model ◽  
Better Than

PurposeThe issues of radiating sources in the existence of smooth convex matters by such objects are of huge significance in the modeling of antennas on structures. Conformal antenna arrays are necessary when an antenna has to match to certain platforms. A fundamental problem in the design is that the possible surfaces for a conformal antenna are infinite in number. Furthermore, if there is no symmetry, each element will see a different environment, and this complicates the mathematics. As a consequence, the element factor cannot be factored out from the array factor.Design/methodology/approachThis paper intends to enhance the design of the conformal antenna. Here, the main objective of this task is to maximize the antenna gain and directivity from the first-side lobe and other side-lobes in the two way radiation pattern. Thus the adopted model is designed as a multiobjective concern. In order to attain this multiobjective function, both the element spacing and the radius of each antenna element should be optimized based on the probability of the Crow Search Algorithm (CSA). Thus the proposed method is named Probability Improved CSA (PI-CSA). Here, the First Null Beam Width (FNBW) and Side-Lobe Level (SLL) are minimized. Moreover, the adopted scheme is compared with conventional algorithms, and the results are attained.FindingsFrom the analysis, the gain of the presented PI-CSA scheme in terms of best performance was 52.68% superior to ABC, 25.11% superior to PSO, 13.38% superior to FF and 3.21% superior to CS algorithms. Moreover, the mean performance of the adopted model was 62.94% better than ABC, 13.06% better than PSO, 24.34% better than FF and 10.05% better than CS algorithms. By maximizing the gain and directivity, FNBW and SLL were decreased. Thus, the optimal design of the conformal antenna has been attained by the proposed PI-CSA algorithm in an effective way.Originality/valueThis paper presents a technique for enhancing the design of the conformal antenna using the PI-CSA algorithm. This is the first work that utilizes PI-CSA-based optimization for improving the design of the conformal antenna.

scholarly journals Position only Antenna Array Synthesis using Normal Distributed Invasive Weed Optimization

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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