Faculty Advisor

Pahlavan, Kaveh

Faculty Advisor

Weekes, Suzanne L.

Abstract

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.

Publisher

Worcester Polytechnic Institute

Date Accepted

April 2017

Major

Mathematical Sciences

Major

Electrical and Computer Engineering

Project Type

Major Qualifying Project

Accessibility

Restricted-WPI community only

Advisor Department

Electrical and Computer Engineering

Advisor Department

Mathematical Sciences

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