Channel Estimation And Flight Path Planning For Secure Unmanned Aerial Vehicle Communications

Unmanned Aerial Vehicle (UAV) has been used in various applications. As there are no human pilot onboard the UAV, the wireless communication link between the UAV and other devices is a key component to the UAV operation. The wireless communication link can be vulnerable to malicious attacks such as...

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Bibliographic Details
Main Author:	Mah, Meng Chuan
Format:	Thesis
Published:	2019
Subjects:	TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
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id	my-mmu-ep.7758
record_format	uketd_dc
spelling	my-mmu-ep.77582020-09-22T17:51:07Z Channel Estimation And Flight Path Planning For Secure Unmanned Aerial Vehicle Communications 2019-08 Mah, Meng Chuan TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television Unmanned Aerial Vehicle (UAV) has been used in various applications. As there are no human pilot onboard the UAV, the wireless communication link between the UAV and other devices is a key component to the UAV operation. The wireless communication link can be vulnerable to malicious attacks such as jamming or eavesdropping. Thus, methods and techniques to increase the robustness of the UAV communication link in the presence of jamming and eavesdropping are crucial. Channel estimation in the presence of jamming can be a challenging process as the jamming signal’s properties are usually unknown. An existing method has been proposed where multi-antenna interference cancellation is exploited to estimate the required channel components. However, the existing method struggles to estimate fast time-varying channel accurately, especially for cases where the UAV is travelling at high velocity. In this thesis, an algorithm to estimate the channel components and recover the desired signal in the presence of reactive jamming is proposed. A Kalman filter and basis expansion model (BEM) are utilised to ensure the proposed method can estimate the fast time-varying channel. Simulations are carried out and the proposed method is shown to outperform the existing method. UAV has been used as a relay in many common applications to increase the range of wireless communication. Unlike fixed-location ground relay, the high mobility of the UAV provides a potentially unique solution to combat jamming. An existing work exploits the mobility of the UAV by optimising the flight path of the UAV to maximise the signal-to-noise ratio (SNR) at the receiver. In the presence of jamming, the signal-to-interference-plus-noise ratio (SINR) represents a better measure of the robustness and performance of the communication. In this thesis, an algorithm to determine the flight path of the UAV is proposed where the SINR at the receiver is maximised. 2019-08 Thesis http://shdl.mmu.edu.my/7758/ http://library.mmu.edu.my/library2/diglib/mmuetd/ phd doctoral Multimedia University Faculty of Engineering & Technology
institution	Multimedia University
collection	MMU Institutional Repository
topic	TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
spellingShingle	TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television Mah, Meng Chuan Channel Estimation And Flight Path Planning For Secure Unmanned Aerial Vehicle Communications
description	Unmanned Aerial Vehicle (UAV) has been used in various applications. As there are no human pilot onboard the UAV, the wireless communication link between the UAV and other devices is a key component to the UAV operation. The wireless communication link can be vulnerable to malicious attacks such as jamming or eavesdropping. Thus, methods and techniques to increase the robustness of the UAV communication link in the presence of jamming and eavesdropping are crucial. Channel estimation in the presence of jamming can be a challenging process as the jamming signal’s properties are usually unknown. An existing method has been proposed where multi-antenna interference cancellation is exploited to estimate the required channel components. However, the existing method struggles to estimate fast time-varying channel accurately, especially for cases where the UAV is travelling at high velocity. In this thesis, an algorithm to estimate the channel components and recover the desired signal in the presence of reactive jamming is proposed. A Kalman filter and basis expansion model (BEM) are utilised to ensure the proposed method can estimate the fast time-varying channel. Simulations are carried out and the proposed method is shown to outperform the existing method. UAV has been used as a relay in many common applications to increase the range of wireless communication. Unlike fixed-location ground relay, the high mobility of the UAV provides a potentially unique solution to combat jamming. An existing work exploits the mobility of the UAV by optimising the flight path of the UAV to maximise the signal-to-noise ratio (SNR) at the receiver. In the presence of jamming, the signal-to-interference-plus-noise ratio (SINR) represents a better measure of the robustness and performance of the communication. In this thesis, an algorithm to determine the flight path of the UAV is proposed where the SINR at the receiver is maximised.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Mah, Meng Chuan
author_facet	Mah, Meng Chuan
author_sort	Mah, Meng Chuan
title	Channel Estimation And Flight Path Planning For Secure Unmanned Aerial Vehicle Communications
title_short	Channel Estimation And Flight Path Planning For Secure Unmanned Aerial Vehicle Communications
title_full	Channel Estimation And Flight Path Planning For Secure Unmanned Aerial Vehicle Communications
title_fullStr	Channel Estimation And Flight Path Planning For Secure Unmanned Aerial Vehicle Communications
title_full_unstemmed	Channel Estimation And Flight Path Planning For Secure Unmanned Aerial Vehicle Communications
title_sort	channel estimation and flight path planning for secure unmanned aerial vehicle communications
granting_institution	Multimedia University
granting_department	Faculty of Engineering & Technology
publishDate	2019
_version_	1747829675513610240

Channel Estimation And Flight Path Planning For Secure Unmanned Aerial Vehicle Communications

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