INDOOR LOCATION TRACKING AND ORIENTATION ESTIMATION USING A PARTICLE FILTER, INS, AND RSSI

Publication Year:
2015
Usage 974
Downloads 919
Abstract Views 55
Repository URL:
http://digitalcommons.calpoly.edu/theses/1356
DOI:
10.15368/theses.2015.1
Author(s):
Nouri, Cameron Ramin
Publisher(s):
Robert E. Kennedy Library, Cal Poly
Tags:
Localization; RSSI; IMU; Particle Filter
thesis / dissertation description
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.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.