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DETECTING GNSS SPOOFING ATTACKS USING INS COUPLING
Title
DETECTING GNSS SPOOFING ATTACKS USING INS COUPLING
Creator
Tanil, Cagatay
Date
2016, 2016-12
Description
Vulnerability of Global Navigation Satellite Systems (GNSS) users to signal spoofing is a critical threat to positioning integrity, especially...
Show moreVulnerability of Global Navigation Satellite Systems (GNSS) users to signal spoofing is a critical threat to positioning integrity, especially in aviation applications, where the consequences are potentially catastrophic. In response, this research describes and evaluates a new approach to directly detect spoofing using integrated Inertial Navigation Systems (INS) and fault detection concepts based on integrity monitoring. The monitors developed here can be implemented into positioning systems using INS/GNSS integration via 1) tightly-coupled, 2) loosely-coupled, and 3) uncoupled schemes. New evaluation methods enable the statistical computation of integrity risk resulting from a worst-case spoofing attack – without needing to simulate an unmanageably large number of individual aircraft approaches. Integrity risk is an absolute measure of safety and a well-established metric in aircraft navigation. A novel closed-form solution to the worst-case time sequence of GNSS signals is derived to maximize the integrity risk for each monitor and used in the covariance analyses. This methodology tests the performance of the monitors against the most sophisticated spoofers, capable of tracking the aircraft position – for example, by means of remote tracking or onboard sensing. Another contribution is a comprehensive closed-loop model that encapsulates the vehicle and compensator (estimator and controller) dynamics. A sensitivity analysis uses this model to quantify the leveraging impact of the vehicle’s dynamic responses (e.g., to wind gusts, or to autopilot’s acceleration commands) on the monitor’s detection capability. The performance of the monitors is evaluated for two safety-critical terminal area navigation applications: 1) autonomous shipboard landing and 2) Boeing 747 (B747) landing assisted with Ground Based Augmentation Systems (GBAS). It is demonstrated that for both systems, the monitors are capable of meeting the most stringent precision approach and landing integrity requirements of the International Civil Aviation Organization (ICAO). The statistical evaluation methods developed here can be used as a baseline procedure in the Federal Aviation Administration’s (FAA) certification of spoof-free navigation systems. The final contribution is an investigation of INS sensor quality on detection performance. This determines the minimum sensor requirements to perform standalone GNSS positioning in general en route applications with guaranteed spoofing detection integrity.
Ph.D. in Mechanical and Aerospace Engineering, December 2016
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REAL-TIME ARAIM USING GPS, GLONASS, AND GALILEO
Title
REAL-TIME ARAIM USING GPS, GLONASS, AND GALILEO
Creator
Cassel, Ryan
Date
2017, 2017-05
Description
Since the inception of GPS, satellite navigation has been a widely used means of navigation for both military and civilian users on the ground...
Show moreSince the inception of GPS, satellite navigation has been a widely used means of navigation for both military and civilian users on the ground and in the air. GPS is capable of providing highly accurate positioning and timing information to users around the globe. However, for certain applications, providing high-accuracy position estimates is not sufficient. Because satellites are susceptible to faults, the safety, or integrity, of the position estimates is also of concern, especially in civilian aviation where safety is critical. As such, receiver autonomous integrity monitoring (RAIM) can be used in order to detect and potentially exclude these faults and guarantee the safety of the position estimate. RAIM has been capable of supporting horizontal aircraft navigation using GPS for decades and has proven to be a useful tool. Now, as more global navigation satellite systems (GNSS) become available, the potential for advanced RAIM (ARAIM) to support vertical guidance for aircraft using multiple constellations has become an area of great interest. In this work, the ARAIM methodology is discussed, and the procedure is outlined, including protection level calculation, fault detection, and exclusion. The procedure is then implemented in a real-time ARAIM prototype. While GPS and Galileo aim to provide worldwide coverage for vertical guidance by 2020 when Galileo is fully operational, ARAIM performance can be examined at present using the current full-strength GPS and GLONASS constellations. This prototype performs position estimation and ARAIM using measurements from the current GPS, GLONASS, and partial Galileo constellations. ARAIM results in a variety of different GNSS scenarios are examined. Furthermore, this work investigates two methods of improving the computational efficiency of the ARAIM algorithm: satellite selection and fault mode grouping.
M.S. in Mechanical and Aerospace Engineering, May 2017
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