Abstract
Fingerprint positioning method is generally the first choice in indoor navigation system due to its high accuracy and low cost. The accuracy depends on partition density to the indoor space. The accuracy will be higher with higher grid resolution. But the high grid resolution leads to significantly increasing work of the fingerprint data collection, processing and maintenance. This also might decrease the performance, portability and robustness of the navigation system. Meanwhile, traditional fingerprint positioning method use equational grid to partition the indoor space. While used for pedestrian navigation, sometimes a person can be located at the area where he or she cannot access. This paper studied these two issues, proposed a new indoor space partition method considering pedestrian accessibility, which can increase the accuracy of pedestrian position, and decrease the volume of the fingerprint data. Based on this proposed partition method, an optimized algorithm for fingerprint position was also designed. A across linker structure was used for fingerprint point index and matching. Experiment based on the proposed method and algorithm showed that the workload of fingerprint collection and maintenance were effectively decreased, and poisoning efficiency and accuracy was effectively increased
Highlights
It is estimated that over 80% of people’s activity is carried out in indoor space
With the advantages of low cost, mall size, easy to integrate, easy to popularize, WIFI and Bluetooth are widely used for indoor positioning (Lifang ZHAO, 2015)
This paper considered the spatial feather and pedestrian accessibility of the indoor space, proposed an space subdivision
Summary
Indoor positioning and navigation has a wide rage demand and huge application prospect. The most common positioning signal used for out-door area is GPS. (Powell, 2009; Lifang ZHAO, 2015). There have been many researches on indoor positioning, such as 2D code scan, UWB, RFID, sound wave and lamplight, terrestrial magnetism and electromagnetism, WIFI and Bluetooth etc. Among these methods, signals like WIFI and Bluetooth can support Mobile Terminals like smartphone so no extra hardware equipment is required for end users. With the advantages of low cost, mall size, easy to integrate, easy to popularize, WIFI and Bluetooth are widely used for indoor positioning (Lifang ZHAO, 2015). We take the fingerprint positioning method to conduct our study
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