Fingerprint positioning based on piecewise filtering of received signal strength indices and space-scene constraints
Yong Gang Shi, Xianjian Xiao, Fuqiang Lu, Xiaofei Yang · Review of Computer Engineering Studies · 2018
This paper aims to reduce the dimensionality in fingerprint algorithm and achieve the optimal positioning accuracy at the minimal cost.For these purposes, the piecewise feature of iBeacon signal transmission was taken as the filtering factor of fingerprint positioning and adopted to filter the received signal strength indices (RSSIs) collected in real time.Then, the related fingerprints were filtered into fragments for subsequent online matching.After that, the indoor space-scene was divided into passage and hall, and the relevant constraint factor and data structure were discussed for fingerprint indexing.On this basis, the author proposed a novel method to optimize fingerprint positioning considering RSSI filtering and space-scene constraints.The experiments on an office space-scene reveal that the proposed method achieved the same result as the traditional one using 88% shorter matching time.This research provides an efficient and accuracy way of fingerprint positioning.