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

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 ab...

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Format:	Thesis
Language:	English
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/bitstream/123456789/78742/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78742/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78742/3/Mohd%20Ilman.pdf
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id	my-unimap-78742
record_format	uketd_dc
spelling	my-unimap-787422023-05-12T14:06:32Z Angle of arrival estimation system for radiation pattern reconfigurable antenna with modified gaussian membership function Muzammil, Jusoh, Assoc. Prof. Dr. 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. Universiti Malaysia Perlis (UniMAP) Thesis en http://dspace.unimap.edu.my:80/xmlui/handle/123456789/78742 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78742/4/license.txt 8a4605be74aa9ea9d79846c1fba20a33 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78742/1/Page%201-24.pdf 6d64622cb63ebbac156da29666f2e89a http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78742/2/Full%20text.pdf 2062034cd7db412cbc8e08d8f701055f http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78742/3/Mohd%20Ilman.pdf 8bb7913bcb4afd90c6c86cc181c30131 Universiti Malaysia Perlis (UniMAP) Radio direction finders Software radio Wireless communication systems Adaptive signal processing Antenna arrays Angle of Arrival (AOA) School of Computer and Communication Engineering
institution	Universiti Malaysia Perlis
collection	UniMAP Institutional Repository
language	English
advisor	Muzammil, Jusoh, Assoc. Prof. Dr.
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) Angle of arrival estimation system for radiation pattern reconfigurable antenna with modified gaussian membership function
description	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.
format	Thesis
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
granting_institution	Universiti Malaysia Perlis (UniMAP)
granting_department	School of Computer and Communication Engineering
url	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78742/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78742/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78742/3/Mohd%20Ilman.pdf
_version_	1776104288036061184

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

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