Indoor Location Tracking and Orientation Estimation using a Particle Filter, INS, and RSSI Cameron NouriWith 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.Page iv ACKNOWLEDGMENTS Thank you Rudi Bendig and Ryan Green and Kenneth Finnigan for information at the onset of this thesis. Thank you Collin MacGregor and Karl Preheim for the help in reviewing data and providing input. Thank you to my advisor committee for the knowledge and helpful tutelage throughout my college career.
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