UAV Localization PerformancePublic
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This project is motivated to improve the security of the public against Unmanned Aircraft Vehicles (UAV) by creating a system that is able to identify the location of an unwanted drone. Drones have to emit a wireless signal to the drone’s controller, which we will be utilizing to intercept and calculate its position. The position is calculated using the localization algorithm Recursive Least Square Method (RLS). This real-time localization system will be able to constantly update the user on the location of the drone, increasing security and safety against unmanned drones. This individual report will focus on the performance and efficiency of this system through the comparison with Cramer Rao Lower Bound.
- This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
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