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Angle of arrival estimation system for radiation pattern reconfigurable antenna with modified gaussian membership function

Doctor of Philosophy in Computer Engineering

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Bibliographic Details
Main Author: Mohd Ilman, Jais
Other Authors: Muzammil, Jusoh, Assoc. Prof. Dr.
Format: Thesis
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2018
Subjects:
Radio direction finders
Software radio
Wireless communication systems
Adaptive signal processing
Antenna arrays
Angle of Arrival (AOA)
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/78742
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spelling my.unimap-787422023-05-12T14:06:32Z Angle of arrival estimation system for radiation pattern reconfigurable antenna with modified gaussian membership function Mohd Ilman, Jais Muzammil, Jusoh, Assoc. Prof. Dr. Radio direction finders Software radio Wireless communication systems Adaptive signal processing Antenna arrays Angle of Arrival (AOA) Doctor of Philosophy in Computer Engineering This research focuses on developing angle of arrival (AOA) estimation system (AES) through incoming received signal strength indication (RSSI). Proposed AES is developing on a single board computer (SBC) using an open source GNU Linux operating system (OS). The good AOA estimation systems must able to covered 360° with many estimation points. However, previous AOA estimation systems prototype suffers from a major drawback to achieve 360° angle covered due to limitation of antenna radiation pattern. Therefore, radiation pattern reconfigurable (RPR) antenna operates at 2.45 GHz that capable to cover the wide AOA estimation angle is introduced. Nevertheless, the RPR antenna on AES prototype provides lack of estimation points. Thus, this thesis infuses Fuzzy Inference System (FIS) to further improve decision making and increase the number of AOA estimation points. The FISAES is the first effort in realizing the advantages of FIS with only three sets of RPR antenna abilities without any intelligent algorithm support to cover 360° angle estimation. The FIS-AES algorithm is develop by Python 2.7 programming supported by SciKit library. The proposed Fuzzy Inference System of AOA estimation system (FIS-AES) successfully increases number of estimation from nine to 18 estimation points. Four types of membership function (MF) are trained to obtain response between fuzzifier and defuzzfier of FIS-AES algorithm. A novel MF based Gaussian-MF curve named as the Pattern-MF is introduced. The response between fuzzifier and defuzzfier of FIS-AES algorithm of proposed Pattern-MF approximately ~80% to ~85%, which is the highest compared than existed MF in SciKit library. Moreover, adopted the FIS offers more AOA estimation points, thus it helps FIS-AES capable to improve the absolute error of AOA estimation and root mean square error (RMSE) is ±5° and less than 10 respectively. The investigation of SBC performance is important to verify that SBC competent to act as the main platform of AES. The SBC performance is verified in terms of CPU and memory utilization. In this work, the Raspberry-Pi has successfully completed all tasking with average CPU and average memory utilization less than 10% and less than 31% respectively for S11 measurement and less than 10% and less than 37% respectively for AES measurement. With all capabilities demonstrated and discussed, the FIS-AES have great potential as one of the best options for realizing applications such as localization system man computer interaction. 2018 2023-05-12T14:06:32Z 2023-05-12T14:06:32Z Thesis http://dspace.unimap.edu.my:80/xmlui/handle/123456789/78742 en Universiti Malaysia Perlis (UniMAP) Universiti Malaysia Perlis (UniMAP) School of Computer and Communication Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Radio direction finders
Software radio
Wireless communication systems
Adaptive signal processing
Antenna arrays
Angle of Arrival (AOA)
spellingShingle Radio direction finders
Software radio
Wireless communication systems
Adaptive signal processing
Antenna arrays
Angle of Arrival (AOA)
Mohd Ilman, Jais
Angle of arrival estimation system for radiation pattern reconfigurable antenna with modified gaussian membership function
description Doctor of Philosophy in Computer Engineering
author2 Muzammil, Jusoh, Assoc. Prof. Dr.
author_facet Muzammil, Jusoh, Assoc. Prof. Dr.
Mohd Ilman, Jais
format Thesis
author Mohd Ilman, Jais
author_sort Mohd Ilman, Jais
title Angle of arrival estimation system for radiation pattern reconfigurable antenna with modified gaussian membership function
title_short Angle of arrival estimation system for radiation pattern reconfigurable antenna with modified gaussian membership function
title_full Angle of arrival estimation system for radiation pattern reconfigurable antenna with modified gaussian membership function
title_fullStr Angle of arrival estimation system for radiation pattern reconfigurable antenna with modified gaussian membership function
title_full_unstemmed Angle of arrival estimation system for radiation pattern reconfigurable antenna with modified gaussian membership function
title_sort angle of arrival estimation system for radiation pattern reconfigurable antenna with modified gaussian membership function
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2018
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/78742
_version_ 1772813206348103680
score 13.222552

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