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


Mah, Meng Chuan (2019) Channel Estimation And Flight Path Planning For Secure Unmanned Aerial Vehicle Communications. PhD thesis, Multimedia University.

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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.

Item Type: Thesis (PhD)
Additional Information: Call No.: TK5103.2 .M34 2019
Uncontrolled Keywords: Wireless communication systems
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 22 Sep 2020 17:51
Last Modified: 22 Sep 2020 17:51


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