Enhanced position fingerprint indoor positioning method integrating Wi-Fi and Bluetooth

Abstract

The invention discloses an enhanced position fingerprint indoor positioning method integrating Wi-Fi and Bluetooth. The method is integrated with Wi-Fi and Bluetooth enhanced position fingerprint indoor positioning. The two modes of Wi-Fi and Bluetooth adopt signal strength indication RSSI position fingerprints to carry out indoor positioning, only the mapping relation between the received signalstrength and the spatial physical position is needed for positioning, the cost of a positioning system can be effectively reduced, and the robustness of the multipath effect in the complex environmentis greatly improved. RSSI parameters are dynamically corrected according to RSSI vector values, received from a plurality of preset access point AP node devices in a to-be-tested environment, of respective corresponding test positions, and a result obtained by a position fingerprint method can be close to an actual position to the greatest extent by using a k-weighted neighbor method, so that thepositioning precision is improved. The present invention uses advantages of dual-mode positioning are brought into full play through decision-level fusion of the Wi-Fi and the Bluetooth, and the indoor positioning precision can be effectively improved under the condition of self-adapting to most complex environments.

Description

technical field [0001] The invention relates to an indoor positioning method with enhanced position fingerprint combined with Wi-Fi and Bluetooth, and belongs to the technical field of wireless positioning. Background technique [0002] Localization in indoor environments has always been an area with many unsolved problems. Due to severe signal attenuation and multipath effects, common outdoor positioning facilities (such as GPS) cannot work effectively inside buildings, and at the same time, positioning accuracy is also a problem. We can build a complete set of infrastructure indoors for positioning, but this requires a lot of cost, including the spectrum resources occupied by positioning signals, additional hardware embedded in mobile devices for sensing positioning signals, and installation in fixed locations The anchor node used to send positioning signals. In this case, now Wi-Fi and Bluetooth have been popularized on a large scale, and Wi-Fi and Bluetooth exist in mo...

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Problems solved by technology

However, the above method has a defect: UWB occupies a large bandwidth, and it is not conducive to deploying APs in a large area when used for indoor positioning, otherwise it is easy to cause interference to other wireless devices in the room, so the positioning range is quite limited; Xu Congfu et al. proposed Use the D-S evidence theory to fuse the positioning results of multiple sensors at the decision-making level, but it has the same independence assumption as the Bayesian method, which is not easy to meet in practical applications, and the computational complexity is too high. With the amount of data The computational complexity will increase exponentially, and the D-S synthesis formula does not have a solid theoretical basis; Wang Rui and others proposed to use the fingerprint algorithm to fuse the positioning results of Bluetooth and Wi-Fi at the decision-making level, and carry out Grid merging, but when it uses the Euclidean distance as the similarity, it uses the special case of the k nearest neighbor method, that is, k=1, and its positioning results have certain particularities. general effect

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