Simultaneous Improvement of array factor directivity and side lobe level of time-modulated linear antenna arrays using opposition-based harmony search algorithm

2015 ◽  
Vol 30 (3-4) ◽  
pp. e2086 ◽  
Author(s):  
Gopi Ram ◽  
Durbadal Mandal ◽  
Rajib Kar ◽  
Sakti Prasad Ghoshal
Keyword(s):  
Antenna Arrays ◽  
Search Algorithm ◽  
Harmony Search ◽  
Side Lobe ◽  
Harmony Search Algorithm ◽  
Side Lobe Level ◽  
Linear Antenna ◽  
Linear Antenna Arrays

scholarly journals The optimal synthesis of scanned linear antenna arrays

2020 ◽  
Vol 10 (2) ◽  
pp. 1477
Author(s):  
Anas A. Amaireh ◽  
Asem S. Al-Zoubi ◽  
Nihad I. Dib
Keyword(s):  
Antenna Arrays ◽  
Firefly Algorithm ◽  
Side Lobe ◽  
Side Lobe Level ◽  
Linear Antenna ◽  
Symbiotic Organisms Search ◽  
Optimization Parameters ◽  
Antlion Optimization ◽  
Symbiotic Organisms ◽  
Linear Antenna Arrays

In this paper, symmetric scanned linear antenna arrays are synthesized, in order to minimize the side lobe level of the radiation pattern. The feeding current amplitudes are considered as the optimization parameters. Newly proposed optimization algorithms are presented to achieve our target; Antlion Optimization (ALO) and a new hybrid algorithm. Three different examples are illustrated in this paper; 20, 26 and 30 elements scanned linear antenna array. The obtained results prove the effectiveness and the ability of the proposed algorithms to outperform and compete other algorithms like Symbiotic Organisms Search (SOS) and Firefly Algorithm (FA).

scholarly journals Synthesis and Failure Correction of Flattop and Cosecant Squared Beam Patterns in Linear Antenna Arrays

2017 ◽  
Vol 4 ◽  
pp. 25-30 ◽  
Author(s):  
Hemant Patidar ◽  
Gautam Kumar Mahanti ◽  
Ramalingam Muralidharan
Keyword(s):  
Antenna Arrays ◽  
Firefly Algorithm ◽  
Recovery Process ◽  
Side Lobe ◽  
Side Lobe Level ◽  
Linear Antenna ◽  
Successful Employment ◽  
The Individual ◽  
Beam Patterns ◽  
Linear Antenna Arrays

This paper deals with the synthesis of flattop and cosecant squared beam patterns using the firefly algorithm which is based on metaheuristics. This synthesis is followed by the correction of the radiation patterns when unfortunate malfunctioning of the individual elements in the array occurs. The necessary attention is given to the recovery process, with due emphasis on reduction of side lobe level, ripple and the reflection coefficient. Simulation in Matlab shows a successful employment of the firefly algorithm in producing voltage excitations of the good elements necessary for the recovered patterns. The performance of the firefly algorithm in failure correction is validated by duly comparing it with a standard benchmark.

scholarly journals A Hybrid GA/GE Beamforming Technique for Side Lobe Cancellation of Linear Antenna Arrays

2021 ◽  
Vol 10 (2) ◽  
pp. 67-77
Author(s):  
S. I. Abdelrahman ◽  
A. H. Hussein ◽  
A. E. A. Shaalan
Keyword(s):  
Antenna Arrays ◽  
Optimization Technique ◽  
Side Lobe ◽  
Main Beam ◽  
Side Lobe Level ◽  
Linear Antenna ◽  
Gauss Elimination ◽  
Half Power ◽  
Beamforming Technique ◽  
Linear Antenna Arrays

Side lobe level reduction is one of the most critical research topics in antenna arrays beamforming as it mitigates the interfering and jamming signals. In this paper, a hybrid combination between the Genetic algorithm (GA) optimization technique and the gauss elimination (GE) equation solving technique is utilized for the introduction of the proposed GA/GE beamforming technique for linear antenna arrays. The proposed technique estimates the optimum excitation coefficients and the non-uniform inter-elements spacing for a specific side lobe (SL) cancellation without disturbing the half power beamwidth (HPBW) of the main beam. Different size Chebychev linear antenna arrays are taken as simulation targets. The simulation results revealed the effectiveness of the proposed technique

scholarly journals A Feeding Network with Chebyshev Distribution for Designing Low Side-lobe Level Antenna Arrays

2017 ◽  
Author(s):  
Toan The Tang ◽  
Tran Minh Nguyen ◽  
Giang Truong Vu Bang
Keyword(s):  
Antenna Arrays ◽  
Linear Array ◽  
Side Lobe ◽  
Power Divider ◽  
Side Lobe Level ◽  
Linear Antenna ◽  
Sidelobe Level ◽  
Weighting Method ◽  
Low Sidelobe ◽  
Linear Antenna Arrays

This paper proposes a feeding networking to gain low sidelobe levels for microstrip linear antenna arrays. The procedure to design a feeding network using Chebyshev weighting method will be proposed and presented. As a demonstration, a feeding network for 8×1 elements linear array with Chebyshev distribution weights (preset sidelobe level of -25 dB) has been designed. An unequal T-junction power divider has been applied in designing the feeding network to guarantee the output powers the same as Chebyshev weights. The obtained results of the amplitudes at each output port have been validated with theory data. The phases of output signals are almost equal at all ports. The proposed feeding network, therefore, can be a good candidate for constructing a low sidelobe level linear array antenna.

scholarly journals A Novel Modified Sparrow Search Algorithm with Application in Side Lobe Level Reduction of Linear Antenna Array

2021 ◽  
Vol 2021 ◽  
pp. 1-25
Author(s):  
Qiankun Liang ◽  
Bin Chen ◽  
Huaning Wu ◽  
Chaoyi Ma ◽  
Senyou Li
Keyword(s):  
Antenna Array ◽  
Antenna Arrays ◽  
Search Algorithm ◽  
Side Lobe ◽  
Side Lobe Level ◽  
Linear Antenna ◽  
Test Functions ◽  
Linear Antenna Array ◽  
Benchmark Test Functions ◽  
Modified Algorithm

Antenna arrays play an increasingly important role in modern wireless communication systems. However, how to effectively suppress and optimize the side lobe level (SLL) of antenna arrays is critical for communication performance and communication capabilities. To solve the antenna array optimization problem, a new intelligent optimization algorithm called sparrow search algorithm (SSA) and its modification are applied to the electromagnetics and antenna community for the first time in this paper. Firstly, aimed at the shortcomings of SSA, such as being easy to fall into local optimum and limited convergence speed, a novel modified algorithm combining a homogeneous chaotic system, adaptive inertia weight, and improved boundary constraint is proposed. Secondly, three types of benchmark test functions are calculated to verify the effectiveness of the modified algorithm. Then, the element positions and excitation amplitudes of three different design examples of the linear antenna array (LAA) are optimized. The numerical results indicate that, compared with the other six algorithms, the modified algorithm has more advantages in terms of convergence accuracy, convergence speed, and stability, whether it is calculating the benchmark test functions or reducing the maximum SLL of the LAA. Finally, the electromagnetic (EM) simulation results obtained by FEKO also show that it can achieve a satisfactory beam pattern performance in practical arrays.

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