A parameterized wifi fingerprint database construction method

In Wi-Fi fingerprinting localization system, good positioning accuracy requires accurate fingerprint database, but too much heavy labor was involved in the collection of accurate fingerprint. Therefore, the collection, calibration and maintenance of fingerprint database in Wi-Fi positioning has always been one of the research hotspots. In this paper, a parameterized fingerprint construction system is proposed to obtain an accurate fingerprint database, and the collection and periodic maintenance of fingerprints is relatively efficient. In the proposed scheme, Wi-Fi signal collected in actual environment and wireless signal propagation theory is used to model APs in the interested area by using the least squares fitting method to construct a fingerprint database which matches the surrounding environment. At the end of the paper, an experiment was carried out at Haiyun teaching building of Xiamen University. Compared with the original fingerprints, the positioning accuracy of optimized fingerprints obtained by the proposed scheme is improved by 48%.