A Novel Non-GPS Based Positioning, Navigation and Timing Solution for Reconnaissance Missions

Project Member(s): Huang, X., Dutkiewicz, E., Franklin, D.

Funding or Partner Organisation: NSW Department of Industry (NSW Defence Innovation Network)
NSW Department of Industry (NSW Defence Innovation Network)

Start year: 2019

Summary: This project aims to address the challenge that SOCOMD (and the Australian army as well as other civilian areas, such as fishing industry and autonomous transportation systems) is currently facing, namely positioning, navigation and timing without using GPS. The project proposes a novel solution by investigating i) the capability of combining existing RF signals (e.g., WiFi, LTE, television or radio broadcasting, ultrasonic signals) used as RF beacons for non-GPS navigation and positioning; ii) various weighted combinations of existing navigation and positioning techniques, e.g., TDOA, AOA, RSSI, differential Doppler and time reversal, to optimise the localisation precision and accuracy of the RF solution; iii) transmission and deployment techniques of RF beacon signals if the existing RF signals are unavailable or unusable; iv) a new image-based approach to navigation and localisation using deep learning and convolutional neural networks to improve the accuracy; and v) the simplified Network Timing Protocol (NTP) for nodes to retrieve accurate local time.

Publications:

Le, NP, Tran, LC, Huang, X, Dutkiewicz, E, Ritz, C, Phung, SL, Bouzerdoum, A, Franklin, DR & Hanzo, L 2021, 'Energy-Harvesting Aided Unmanned Aerial Vehicles for Reliable Ground User Localization and Communications Under Lognormal-Nakagami-$m$ Fading Channels.', IEEE Trans. Veh. Technol., vol. 70, no. 2, pp. 1632-1647.
View/Download from: Publisher's site

Le, AT, Tran, LC, Huang, X, Ritz, CH, Dutkiewicz, E, Phung, SL, Bouzerdoum, A & Franklin, DR 2020, 'Unbalanced Hybrid AOA/RSSI Localization for Simplified Wireless Sensor Networks.', Sensors, vol. 20, no. 14, pp. 3838-3838.
View/Download from: Publisher's site

Le, AT, Tran, LC, Huang, X, Ritz, CH, Dutkiewicz, E, Phung, SL, Bouzerdoum, A & Franklin, DR 2020, 'Unbalanced Hybrid AOA/RSSI Localization for Simplified Wireless Sensor Networks.', Sensors, vol. 20, pp. 3838-3838.

FOR Codes: Antennas and propagation, Wireless communication systems and technologies (incl. microwave and millimetrewave), Expanding Knowledge in the Information and Computing Sciences, Emerging Defence Technologies, Network Infrastructure Equipment, Signal Processing, Microwave and Millimetrewave Theory and Technology

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.