关键词: 室内定位, Wi-Fi信号处理, fingerprint定位算法, 系统实现, 性能评估

Abstract: With the development of the Location Based Service（LBS） and the prevalence of smart mobile devices, indoor localization techniques have aroused great attention and been widely studied. This work aims at proposing a multilateral-confined method for fingerprint-based localization to improve the localization accuracy and enhance the system robustness. First, it establishes the offline fingerprint database based on Wi-Fi Received Signal Strength Indication（RSSI） processing. Then, based on the analysis of distance-RSSI function fitting, it proposes a multilateral-confined method to determine a set of Reference Points（RP）, which is used to narrow down the search space during the online localization phase. Then, the fingerprint-based method is adopted to estimate the real-time location. Besides, for performance evaluation, it implements the prototype of the localization system as well as the proposed solution. A comprehensive real-world experiment is conducted and the results demonstrate that the proposed solution is able to effectively improve the localization accuracy and enhance system robustness compared with conventional fingerprint-based localization techniques.

Key words: indoor localization, Wi-Fi signal processing, fingerprint-based localization algorithm, system implementation, performance evaluation