Improved wi-fi-Based indoor localisation and pedestrian dead reckoning using low-cost IMU with filtering technique | |
| Author | Ye Naung Htun |
| Call Number | AIT Thesis no.TC-18-02 |
| Subject(s) | Wireless communication systems Location-based services Orthogonal frequency division multiplexing |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Telecommunications |
| Publisher | Asian Institute of Technology |
| Abstract | The main idea of this thesis is improving Wi-Fi-based indoor localisation using Received Signal Strength Indication (RSSI) and performing pedestrian dead reckoning using low-cost IMU with complementary filtering technique. Indoor localisation systems are required for detection and tracking of items in GPS denied environment. In this thesis, Optimal Smooth-ness Index algorithm for RSSI is applied to analysis the signal and unbiased equations for lognormal shadowing effect. Performing bit error rate of IEEE 802.11 that are required to per-form RSSI based localisation. This paper seeks to improve RSSI based indoor localization in both interference scenario and non-interference scenario. After tested over 106 positions, the algorithm in this thesis improved Wi-Fi based indoor localisation and will perform better in MU-MIMO OFDM of Wireless Access Point. |
| Year | 2018 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Telecommunications (TC) |
| Chairperson(s) | Attaphongse Taparugssanagorn; |
| Examination Committee(s) | Teerapat Sanguankotchakorn;Mongkol Ekpanyapong; |
| Scholarship Donor(s) | Asian Institute of Technology Fellowship; |
| Degree | Thesis (M.Eng.) -- Asian Insitute of Technology, 2018 |