Construction Method of Fingerprint Database for Indoor Positioning System Based on Hidden Landmarks

Abstract

The invention discloses a hidden-landmark-based fingerprint database construction method for an indoor localization system. The method comprises the following steps of mining a hidden landmark similarity set, setting coordinates of a hidden landmark and smoothing a sampling point. According to the technical scheme, a low-cost and high-accuracy received signal strength indication fingerprint database is effectively constructed.

Description

technical field [0001] The invention relates to a method for constructing a fingerprint database of an indoor positioning system, in particular to a method for constructing a fingerprint database of an indoor positioning system based on hidden landmarks. Background technique [0002] Nowadays, the market of wearable devices or mobile terminal equipment is in a stage of explosive growth, and there are more and more applications based on these mobile terminals, among which location-based services (Location Based Service, LBS) have attracted the attention of academia and industry , which has shown great vitality in the fields of scientific and technological life such as personalized information search, medical care, and emergency assistance. At present, due to the popularity of various terminal devices such as smartphones and the improvement of hotspot coverage, seamless and accurate indoor and outdoor positioning can be guaranteed, which is also in line with the needs of build...

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Problems solved by technology

[0004] After searching the literature of the prior art, it was found that Rai A, Chintalapudi K K and PadmanabhanV N published " Zee: zero-effort crowdsourcing for indoor localization” (Zee: crowdsourcing mode in indoor positioning), put forward the idea of ​​introducing crowdsourcing mode in indoor positioning system, the main purpose of this idea is to guide a large number of hand-held smart phones Ordinary personnel participate in indoor positioning and analyze and process the data collected by ordinary personnel, which can provide a solution for establishing a signal reception strength indicator fingerprint library, which can reduce costs to a certain extent; however, in public In packet mode, since untrained ordinary personnel participate in data collection, the quality of data information obtained through the communication interface in the terminal device cannot be guaranteed, and the inertial sensor unit will generate cumulative errors, and the recorded walking distance Longer, the greater the error it will generate, therefore, the positioning accuracy of the positioning system cannot be guaranteed

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