scholarly journals Radiation Pattern Synthesis of Planar Arrays Using Parasitic Patches Fed by a Small Number of Active Elements

2020 ◽  
Author(s):  
Jafar Ramadhan Mohammed ◽  
Karam Mudhafar Younus
Keyword(s):  
Computer Simulation ◽  
Radiation Pattern ◽  
Sidelobe Level ◽  
Pattern Synthesis ◽  
Active Elements ◽  
Array Pattern ◽  
Planar Arrays ◽  
Planar Array ◽  
Simulation Results ◽  
The Cost

In this chapter, several planar array designs based on the use of a small number of the active elements located at the center of the planar array surrounded by another number of the uniformly distributed parasitic elements are investigated. The parasitic elements are used to modify the radiation pattern of the central active elements. The overall radiation pattern of the resulting planar array with a small number of active elements is found to be comparable to that of the fully active array elements with a smaller sidelobe level (SLL) at the cost of a relatively wider beamwidth and lower directivity. Nevertheless, the uses of only a small number of the active elements provide a very simple feeding network that reduces the cost and the complexity of the array. Simulation results which have been computed using computer simulation technology-microwave studio (CST-MWS) show that the sidelobe level of the designed array pattern with parasitic elements is considerably better than that of the similar fully active array elements. The proposed array can be effectively and efficiently used in the applications that require wider antenna beams.

Application of the Unit Circle Representation to Pattern Synthesis of Nonuniformly Spaced and Nonuniformly Excited Arrays based on the Teaching Learning Based Optimization

2019 ◽  
Vol 4 (1) ◽  
pp. 8-17
Author(s):  
Abdelmadjid RECIOUI
Keyword(s):  
Unit Circle ◽  
Antenna Array ◽  
Communication Systems ◽  
Sidelobe Level ◽  
Pattern Synthesis ◽  
Linear Arrays ◽  
Array Pattern ◽  
Teaching Learning Based Optimization ◽  
Null Placement ◽  
Teaching Learning

Pattern synthesis of Antenna array has gained much attention over the last years as they constitute an important role in the modern communication systems. Unit circle-based techniques such as Schelkunoff null placement method have proved their effectiveness to synthesize uniformly spaced linear arrays. Nonuniformly spaced antenna array pattern synthesis has been investigated and interesting results have been obtained. In this work, the unit circle representation approach is applied to synthesize nonuniformly spaced and nonuniformly excited linear arrays. The objective is to accurately place nulls in the desired directions while achieving the least possible sidelobe level. The problem is cast as an optimization problem that is solved using the Teaching Learning Based Optimization (TLBO). Examples are dealt with to prove the design approach effectiveness and flexibility for modern communication system applications.

scholarly journals Sidelobe Suppression in Array-Pattern Synthesis Using Periodic Leaky-Wave Antenna and Binomial Array

2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Hicham Aziz ◽  
Mahmoud Moubadir ◽  
Abdelkrim Farkhsi ◽  
Naima Amar Touhami
Keyword(s):  
Antenna Array ◽  
Sidelobe Suppression ◽  
Sidelobe Level ◽  
Leaky Wave ◽  
Pattern Synthesis ◽  
Array Pattern ◽  
Leaky Wave Antenna ◽  
Wave Antenna ◽  
Measurement Results ◽  
Good Agreement

This paper presents the conception and realization of a 2D antenna array using periodic leaky-wave antenna (PLWA) and the binomial array (BA) at 6 GHz as the application of WLAN. The series array of periodic leaky-wave antenna was provided by an array of five rectangular Patches connected by cross lines. The nonuniform amplitudes of the binomial array are used to reduce the sidelobe level; in this way, the center source radiates strongly on the broadside. The prototype of the proposed 2D antenna array is designed, fabricated, and tested. A good agreement is obtained between simulated and measurement results.

Chebyshev-based array for beam steering and null positioning using modified ant lion optimization

2021 ◽  
pp. 1-15
Author(s):  
Hrudananda Pradhan ◽  
Biswa Binayak Mangaraj ◽  
Santanu Kumar Behera
Keyword(s):  
Beam Steering ◽  
Optimization Algorithms ◽  
Optimization Methods ◽  
Main Beam ◽  
Design Parameters ◽  
Sidelobe Level ◽  
Pattern Synthesis ◽  
Ant Lion Optimization ◽  
Array Pattern ◽  
Ant Lion

Abstract A modified ant lion optimization (MALO) algorithm is proposed in this article, for the synthesis of Chebyshev-based arrays by optimizing amplitudes and phases of excitations, and element spacings. Modification in ant lion optimization is achieved by hybridizing it with chaotic particle swarm optimization. The optimization process is employed to obtain an array pattern with the least possible sidelobe level. Close-in sidelobe level minimization for optimum pattern synthesis is suggested. Instead of only steering the main beam towards the desired direction presented by some popular optimization methods, the beam steering along with null positioning in other specified direction is also achieved employing MALO. Considering the arrays with the same design parameters and the results of other optimization algorithms, the performance of MALO is evaluated. The results show that MALO provides considerable improvements in an array pattern compared to the arrays optimized using other optimization algorithms and the uniform array.

scholarly journals An Efficient Approach for Sidelobe Level Reduction Based on Recursive Sequential Damping

Symmetry ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 480
Author(s):  
Yasser Albagory ◽  
Fahad Alraddady
Keyword(s):  
Communication Systems ◽  
Optimization Techniques ◽  
Wireless Communication Systems ◽  
Sidelobe Level ◽  
Pattern Synthesis ◽  
Essential Requirement ◽  
Planar Arrays ◽  
Uniform Array ◽  
And Performance ◽  
Sidelobe Level Reduction

Recently, antenna array radiation pattern synthesis and adaptation has become an essential requirement for most wireless communication systems. Therefore, this paper proposes a new recursive sidelobe level (SLL) reduction algorithm using a sidelobe sequential damping (SSD) approach based on pattern subtraction, where the sidelobes are sequentially reduced to the optimum required levels with near-symmetrical distribution. The proposed SSD algorithm is demonstrated, and its performance is analyzed, including SLL reduction and convergence behavior, mainlobe scanning, processing speed, and performance under mutual coupling effects for uniform linear and planar arrays. In addition, the SSD performance is compared with both conventional tapering windows and optimization techniques, where the simulation results show that the proposed SSD approach has superior maximum and average SLL performances and lower processing speeds. In addition, the SSD is found to have a constant SLL convergence profile that is independent on the array size, working effectively on any uniform array geometry with interelement spacing less than one wavelength, and deep SLL levels of less than −70 dB can be achieved relative to the mainlobe level, especially for symmetrical arrays.

scholarly journals USE OF SIMULATION SIMULATION TO SOLVE THE PROBLEMS OF REENGINEERING BUSINESS PROCESSES IN ANYLOGIC SIMULATION ENVIRONMENT

2021 ◽  
Vol 8 (1) ◽  
pp. 067-075
Author(s):  
Y. Y. Fyalkovskiy ◽  
Keyword(s):  
Computer Simulation ◽  
Business Processes ◽  
Enterprise Management ◽  
Simulation Environment ◽  
Use Of Resources ◽  
Building Models ◽  
Simulation Results ◽  
The Cost ◽  
Simulation Systems ◽  
Models And Modeling

Successful enterprise management in modern conditions requires the optimization of its business processes. This problem can be solved using simulation, which involves the construction of models that describe the processes as they would in reality. Based on the simulation results, decisions are made to improve the technology and methodology for performing business processes, rational use of resources, reduce the cost of business processes, etc. The paper considers the practical aspects of building models and modeling using one of the popular computer simulation systems Anylogic.

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