Description of Invention
Fingerprinting-based indoor positioning systems are widely adopted due to their resilience to multipath effects. Nonetheless, their performance is inherently reliant on the accuracy of the underlying database, and any changes in the indoor layout can significantly impact the wireless signals, subsequently affecting the localization accuracy. In this project, a novel access point (AP) selection and a weighted AP framework are designed and incorporated into fingerprint-based indoor positioning systems to enhance their localization accuracy in dynamic environments.