Pattern synthesis for multi-feed reflector antennas using invasive weed optimisation

2012 ◽  
Vol 6 (14) ◽  
pp. 1583-1589 ◽  
Author(s):  
A. Foudazi ◽  
A.R. Mallahzadeh
Keyword(s):  
Reflector Antennas ◽  
Pattern Synthesis ◽  
Invasive Weed

Pattern synthesis of array fed reflector antennas

1984 ◽  
Vol 67 (7) ◽  
pp. 38-45 ◽  
Author(s):  
Seiji Mano ◽  
Takashi Katagi ◽  
Takashi Tsutsumi
Keyword(s):  
Reflector Antennas ◽  
Pattern Synthesis

A comparison between GA, PSO, and IWO for shaped beam reflector antennas

2014 ◽  
Vol 7 (5) ◽  
pp. 565-570 ◽  
Author(s):  
Seyed Mohammad Alavi ◽  
Ali F. Naini
Keyword(s):  
Phase Distribution ◽  
Amplitude Distribution ◽  
Reflector Antenna ◽  
Mathematical Methods ◽  
Pattern Synthesis ◽  
Invasive Weed ◽  
Variable Amplitude ◽  
Shaped Beam ◽  
Planar Array ◽  
Field Radiation

This paper presents a comparison between three evolutionary algorithms (EAs) for pattern synthesis of offset reflector antenna fed by a planar array of horn antennas. To perform the optimization process, an elliptical-shaped beam in the U–V plane (U = sinθ cosφ and V = sinθ sinφ) is considered as the desired far-field radiation pattern. To attain the appropriate excitation value for array elements, three conditions are considered: (1) variable amplitude (with uniform phase distribution), (2) variable phase (with uniform amplitude distribution), and (3) variable amplitude and phase excitation. Obtaining the appropriate excitation value based on the mathematical methods is always complicated and time-consuming. Therefore, genetic algorithm (GA) and particle swarm optimization (PSO) as two well-known EAs have been used widely for different applications and shown the promise to solve complicated problems. This paper compares these two EAs with invasive weed optimization (IWO) which is robust and has simple and powerful process with few tuning parameters. We found that for pattern synthesis of multi-feed reflector antenna in different conditions, IWO can provide accurate and comparable results with GA and PSO methods at approximately same iteration number. The convergence diagrams as well as the optimized radiation patterns for different conditions are presented and compared for GA, PSO and IWO.

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 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.

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 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

scholarly journals A novel hybrid IWO and CS algorithm for phase-only pattern synthesis of large array antenna

2021 ◽  
Vol 336 ◽  
pp. 04008
Author(s):  
Chao Liu ◽  
Bo Yang ◽  
Chuan Li
Keyword(s):  
Competitive Exclusion ◽  
Optimal Solution ◽  
Cuckoo Search ◽  
Side Lobe ◽  
Array Antenna ◽  
Large Array ◽  
Invasive Weed Optimization ◽  
Pattern Synthesis ◽  
Invasive Weed ◽  
Local Optimal Solution

In this paper, a novel hybrid Invasive Weed Optimization (IWO) and Cuckoo Search (CS) algorithm (IWO/CS) is presented for phase-only pattern synthesis of large array antenna. The hybrid IWO/CS algorithm embeds the Levy flight of CS algorithm into IWO algorithm as a global guide, thereby enhancing the global search ability of the algorithm. At the same time, in order to avoid trapping into the local optimal solution, mutation operator is introduced to enhance search ability of the algorithm. Finally, competitive exclusion operation is improved to maintain the diversity of population. The hybrid algorithm is applied to phase-only beam shaping to achieve main lobe broadening and side lobe depression. Simulation results demonstrate the superiority of the hybrid IWO and CS algorithm.

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