Indoor Location Tracking and Orientation Estimation Using a Particle Filter, INS, and RSSI

<p>With the advent of wireless sensor technologies becoming more and more common-place in wearable devices and smartphones, indoor localization is becoming a heavily researched topic. One such application for this topic is in the medical field where wireless sensor devices that are capable of monitoring patient vitals and giving accurate location estimations allow for a less intrusive environment for nursing home patients.</p> <p>This project explores the usage of using received signal strength indication (RSSI) in conjunction with an inertial navigation system (INS) to provide location estimations without the use of GPS in a Particle Filter with a small development microcontroller and base station. The paper goes over the topics used in this thesis and the results.</p>

Name thesis:degree_name

MS in Electrical Engineering

Discipline thesis:degree_discipline

Electrical Engineering

Year dc:date.available

2015

Author dc:creator

• Nouri, Cameron Ramin

Contributors dc:contributor

• Tina Smilkstein

• Localization
• RSSI
• IMU
• Particle Filter

Identifier

10.15368/theses.2015.1

OAI identifier oai:identifier

oai:digitalcommons.calpoly.edu:theses-2454