The pursuit of a more accurate localization technique has been a challenge throughout this past decade. After the release of Google Indoor Maps, Wi-Fi localization has an increase in demand. The purpose of this MQP was to create a hybrid localization algorithm that uses Wi-Fi as a foundation, and utilizes Radio Frequency Identification and Ultra Wide-Band sensors. We test each sensor in order to evaluate their individual performance in terms of localization accuracy. Ultimately, we combine each sensor in MATLAB using Kalman Filter and a geometric algorithm.

• 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

• Wang, Tianxiong
• Franco-Gomez, Sebastian
• Ebi, Chuka

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-043015-151913

Advisor

• Pahlavan, Kaveh

Year

• 2015

Date created

• 2015-04-30

Resource type

• Major Qualifying Project

Major

• Electrical & Computer Engineering

Rights statement

• In Copyright