1
Automatic Dependent Surveillance-Broadcast (ADS-B) for the surveillance of an unmanned aircraft system: case study for Myanmar | |
Author | Tun Htet Htet Aye |
Call Number | AIT RSPR no.TC-18-05 |
Note | A research submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Telecommunications, School of Engineering and Technology |
Publisher | Asian Institute of Technology |
Abstract | The increasing congestion of commercial airspaces necessitate more efficient Air Traffic Control (ATC) methods. The Automatic Dependent Surveillance-Broadcast (ADSB) application, a kind of aircrafts running surveillance technology based on global navigation satellite system (GNSS), is one of the most applications of ATC systems and is being rolled out in many countries. The ADS-B data link includes both the air-to-air data and the air-toground data. Conventional surveillance methods consist of voice reporting, visual checks, and primary and secondary surveillance radars. Nevertheless these methods are replaced by ADS-B, a major new technology that is reclassifying the superior of Communications, Navigation, and Surveillance (CNS) in air traffic management today. Unmanned Aircraft System (UAS) is an aircraft which is no need human pilot onboard instead, the UAS is managed from an operator on the ground. As the ADS-B system is replaced in Primary Surveillance Radar (PSR), ADS-B is applied to UAS. ADS-B provide superior performance in tracking UAS. The UAS must fly with Instrument Flight Rule (IFR), not with Visual Flight Rule (VFR), so the role of ADS-B is more important than any other systems. The improved Interacting Multiple Model (IMM) Kalman filter provides a powerful framework for performing the tracking of UAS as well as track UAS continually using estimates calculated from the filter when ADS-B data losses occur. The improved IMM filter is applied to the ADS-B system to improve the accuracy of the ADS-B data. Then, the comparison of the original ADS-B data and the ADS-B data with the improved IMM filter prove that the ADS-B data with improved IMM filter supports the better. |
Year | 2018 |
Type | Research Study Project Report (RSPR) |
School | School of Engineering and Technology (SET) |
Department | Department of Information and Communications Technologies (DICT) |
Academic Program/FoS | Telecommunications (TC) |
Chairperson(s) | Attaphongse Taparugssanagorn; |
Examination Committee(s) | Teerapat Sanguankotchakorn;Poompat Saengudomlert; |
Scholarship Donor(s) | Thailand International Development Cooperation Agency; |