Machine learning for indoor positioning based on received signal strength

• 主要作者: Felis Dwiyasa
• 其他作者: Lim Meng Hiot
• 格式: Theses and Dissertations
• 語言: English
• 出版: 2018
• 主題: DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems; DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• 在線閱讀: https://hdl.handle.net/10356/89317; http://hdl.handle.net/10220/46235
• 機構: Nanyang Technological University

Indoor positioning is a key technology enabler for various smart systems that require location-based optimization and automation. Despite its potential, the field of indoor positioning faces numerous challenges in terms of accuracy, precision, computational complexity, power consumption, robustness,...