Rigorous optimizations of three dimensional antenna arrays using full wave simulations

Date

2015-07-09

Author

Onol, Can
Gokce, Ozer
Boyacı, Huseyın
Ergül, Özgür Salih

Metadata

Show full item record

Item Usage Stats

222
views

0
downloads

We present optimizations of three-dimensional antenna arrays using heuristic techniques coupled with the multilevel fast multipole algorithm (MLFMA). Without resorting to any periodicity and infinity assumptions, antenna arrays are modeled with surface integral equations and simulated via MLFMA, which also enables the analysis of arrays with non-identical elements. Genetic algorithms and particle swarm optimization methods are employed on the complex data produced by MLFMA in phasor domain to find optimal sets of antenna excitations. Effectiveness of the developed mechanism is demonstrated on challenging optimization problems for increasing the directive gain of arrays involving patch antennas

Subject Keywords

Algorithms, Antenna arrays, Computational electromagnetics, Directional patterns (antenna), Microstrip antennas

URI

https://hdl.handle.net/11511/80052
https://www.scopus.com/record/display.uri?eid=2-s2.0-84947268408&origin=resultslist

Conference Name

Progress in Electromagnetics Research Symposium (2015)

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Optimizations of Patch Antenna Arrays Using Genetic Algorithms Supported by the Multilevel Fast Multipole Algorithm Onol, Can; Ergül, Özgür Salih (2014-12-01) We present optimizations of patch antenna arrays using genetic algorithms and highly accurate full-wave solutions of the corresponding radiation problems with the multilevel fast multipole algorithm (MLFMA). Arrays of finite extent are analyzed by using MLFMA, which accounts for all mutual couplings between array elements efficiently and accurately. Using the superposition principle, the number of solutions required for the optimization of an array is reduced to the number of array elements, without resorti...
Antenna Switch Optimizations Using Genetic Algorithms Accelerated With the Multilevel Fast Multipole Algorithm Onol, Can; Karaosmanoglu, Bariscan; Ergül, Özgür Salih (2015-07-24) We present antenna switch optimizations using an efficient mechanism based on genetic algorithms and the multi-level fast multipole algorithm (MLFMA). Genetic algorithms are used to determine switch states for desired radiation and input characteristics, while cost-function evaluations are performed efficiently via an MLFMA implementation with dynamic error control. MLFMA is integrated into the genetic algorithm by extracting common computations to be performed once per optimization. Iterative convergence r...
Efficient and Accurate Electromagnetic Optimizations Based on Approximate Forms of the Multilevel Fast Multipole Algorithm Onol, Can; Karaosmanoglu, Bariscan; Ergül, Özgür Salih (2016-01-01) We present electromagnetic optimizations by heuristic algorithms supported by approximate forms of the multilevel fast multipole algorithm (MLFMA). Optimizations of complex structures, such as antennas, are performed by considering each trial as an electromagnetic problem that can be analyzed via MLFMA and its approximate forms. A dynamic accuracy control is utilized in order to increase the efficiency of optimizations. Specifically, in the proposed scheme, the accuracy is used as a parameter of the optimiz...
Wideband omnidirectional and sector coverage antenna arrays for base stations Alatan, Lale (2018-01-01) By using parallel strip line fed printed dipole antennas as array elements, an omnidirectional antenna array and a wide angle sector coverage array operating in octave band are designed. A maximum deviation of ±1.25 dB from the omnidirectional pattern is achieved for the omnidirectional array, and the average gain of the antenna was measured as being 5 dB in the 1.35–2.7GHz band. For the sector coverage array, a special reflector design is utilized to maintain a half power beam width of around 115◦ with a s...
Neural Network Based Beamforming Using a Cylindrical Patch Array Gureken, Murat; Dural Ünver, Mevlüde Gülbin; Caylar, Selcuk (2009-06-05) A neural network algorithm is implemented for beamforming problem. The cylindrical array with M directive MPA elements has a full coverage of 360deg. Considering the total angular coverage of 360deg in terms of 12 sectors of 30deg each and activating only some MPA elements in the related sector reduces the training set and increases the performance of the beamformer. Increasing the number of targets in different sectors has no effect on the performance of the beamformer.

Citation Formats

C. Onol, O. Gokce, H. Boyacı, and Ö. S. Ergül, “Rigorous optimizations of three dimensional antenna arrays using full wave simulations,” 2015, p. 2230, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/80052.