On Modelling and Comparative Study of LMS and RLS Algorithms for Synthesis of MSA
This paper deals with analytical modelling of microstrip patch antenna (MSA) by means of artificial neural network (ANN) using least mean square (LMS) and recursive least square (RLS) algorithms. Our contribution in this work is twofold. We initially provide a tutorial-like exposition for the design...
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Modelling and Simulation in Engineering |
| Online Access: | http://dx.doi.org/10.1155/2016/9742483 |
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| author | Ahmad Kamal Hassan Adnan Affandi |
| author_facet | Ahmad Kamal Hassan Adnan Affandi |
| author_sort | Ahmad Kamal Hassan |
| collection | DOAJ |
| description | This paper deals with analytical modelling of microstrip patch antenna (MSA) by means of artificial neural network (ANN) using least mean square (LMS) and recursive least square (RLS) algorithms. Our contribution in this work is twofold. We initially provide a tutorial-like exposition for the design aspects of MSA and for the analytical framework of the two algorithms while our second aim is to take advantage of high nonlinearity of MSA to compare the effectiveness of LMS and that of RLS algorithms. We investigate the two algorithms by using gradient decent optimization in the context of radial basis function (RBF) of ANN. The proposed analysis is based on both static and adaptive spread factor. We model the forward side or synthesis of MSA by means of worked examples and simulations. Contour plots, 3D depictions, and Tableau presentations provide a comprehensive comparison of the two algorithms. Our findings point to higher accuracies in approximation for synthesis of MSA using RLS algorithm as compared with that of LMS approach; however the computational complexity increases in the former case. |
| format | Article |
| id | doaj-art-e62e076f2ac94faaa023cd7523735455 |
| institution | Kabale University |
| issn | 1687-5591 1687-5605 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Modelling and Simulation in Engineering |
| spelling | doaj-art-e62e076f2ac94faaa023cd75237354552025-02-03T05:57:11ZengWileyModelling and Simulation in Engineering1687-55911687-56052016-01-01201610.1155/2016/97424839742483On Modelling and Comparative Study of LMS and RLS Algorithms for Synthesis of MSAAhmad Kamal Hassan0Adnan Affandi1Department of Electrical and Computer Engineering, King Abdulaziz University, P.O. Box 80204, Jeddah 21589, Saudi ArabiaDepartment of Electrical and Computer Engineering, King Abdulaziz University, P.O. Box 80204, Jeddah 21589, Saudi ArabiaThis paper deals with analytical modelling of microstrip patch antenna (MSA) by means of artificial neural network (ANN) using least mean square (LMS) and recursive least square (RLS) algorithms. Our contribution in this work is twofold. We initially provide a tutorial-like exposition for the design aspects of MSA and for the analytical framework of the two algorithms while our second aim is to take advantage of high nonlinearity of MSA to compare the effectiveness of LMS and that of RLS algorithms. We investigate the two algorithms by using gradient decent optimization in the context of radial basis function (RBF) of ANN. The proposed analysis is based on both static and adaptive spread factor. We model the forward side or synthesis of MSA by means of worked examples and simulations. Contour plots, 3D depictions, and Tableau presentations provide a comprehensive comparison of the two algorithms. Our findings point to higher accuracies in approximation for synthesis of MSA using RLS algorithm as compared with that of LMS approach; however the computational complexity increases in the former case.http://dx.doi.org/10.1155/2016/9742483 |
| spellingShingle | Ahmad Kamal Hassan Adnan Affandi On Modelling and Comparative Study of LMS and RLS Algorithms for Synthesis of MSA Modelling and Simulation in Engineering |
| title | On Modelling and Comparative Study of LMS and RLS Algorithms for Synthesis of MSA |
| title_full | On Modelling and Comparative Study of LMS and RLS Algorithms for Synthesis of MSA |
| title_fullStr | On Modelling and Comparative Study of LMS and RLS Algorithms for Synthesis of MSA |
| title_full_unstemmed | On Modelling and Comparative Study of LMS and RLS Algorithms for Synthesis of MSA |
| title_short | On Modelling and Comparative Study of LMS and RLS Algorithms for Synthesis of MSA |
| title_sort | on modelling and comparative study of lms and rls algorithms for synthesis of msa |
| url | http://dx.doi.org/10.1155/2016/9742483 |
| work_keys_str_mv | AT ahmadkamalhassan onmodellingandcomparativestudyoflmsandrlsalgorithmsforsynthesisofmsa AT adnanaffandi onmodellingandcomparativestudyoflmsandrlsalgorithmsforsynthesisofmsa |