Indoor positioning method based on WiFi hot spot
An indoor positioning and hotspot technology, which can be applied to services based on location information, services based on specific environments, and electrical components. Effect
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[0035] Example 1
[0036] On the one hand, an embodiment of the present invention provides an indoor positioning method based on WiFi hotspots, which is applied to an indoor environment where multiple WiFi hotspots are set, and specifically includes: based on the positions of multiple reference sample points in the indoor environment and each reference The sample point receives the received signal strength from each WiFi hotspot to establish a fingerprint database; uses principal component analysis to extract the features of the original fingerprint database data, and generates a feature value fingerprint space; according to each reference sample point in the feature fingerprint database receives From the received signal strength of each hot spot and the received signal strength of the to-be-located target from the plurality of a hot-spot, it is determined from the plurality of reference sample points that the distance to the to-be-located target is within a predetermined dista...
Example Embodiment
[0056] Embodiment 2
[0057] In order to make the advantages of the WiFi hotspot-based indoor positioning method provided by the present invention clearer than that of the existing indoor positioning method, a real experiment was carried out, refer to figure 2 , the illustration shows the environment diagram of the real experiment and the setting diagram of the sample reference point and AP node. The experimental environment is an area with a length of 60m and a width of 2m. In order to ensure the general applicability and representativeness of the final results obtained in the experiment, this paper The experimental environment selected by the invention is an area where people move frequently and interfere with complex and changeable areas. After the experiment, specific data are recorded, and relevant conclusions are obtained by analyzing the specific data, as follows:
[0058] First, collect data according to a virtual grid of 1m×1m within a space of 60m×2m, with a total o...
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