This project is motivated by identifying the location of a trespassing drone. A drone is often equipped with a wireless camera which makes it vulnerable to the misuse of harassment, stalking, and other illegal activities. To mitigate this issue, we are interested in determining the location of a drone based on channel modeling, which studies the characteristics of signal propagation between transmitters and receivers (base stations). We implemented three localization algorithms: maximum likelihood estimation, weighted centroid, and recursive least square. We also compared these algorithms with Cramer-Rao lower bound, a theoretical lower bound for an unbiased estimator.

• 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.

Creator

• Tian, Zilu

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-042717-084711

Advisor

• Weekes, Suzanne L.
• Pahlavan, Kaveh

Year

• 2017

Date created

• 2017-04-27

Resource type

• Major Qualifying Project

Major

• Interdisciplinary

Rights statement

• In Copyright