Indoor location method, device and system
An indoor positioning and location information technology, applied in the field of communication, can solve the problem of low positioning accuracy of intelligent terminals, and achieve the effect of improving accuracy and positioning accuracy
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Embodiment 1
[0047] figure 1 It is a flowchart of an indoor positioning method provided by Embodiment 1 of the present invention. The embodiments of the present invention are directed to the RSSI-based indoor positioning method using position fingerprints and clustering ideas in the prior art, and the positioning accuracy of the smart terminal corresponding to the fingerprint to be measured that is far from the center of the attribution class and at the edge of the attribution class Low problem, an indoor positioning method is provided, and the execution subject of the method is the positioning server. Such as figure 1 As shown, the specific steps of the method are as follows:
[0048] Step S101: When receiving the positioning request sent by the target to be located, obtain the fingerprint to be measured of the target to be located.
[0049] Among them, the fingerprint to be measured is the fingerprint information of the current location of the target to be located, that is, the fingerprint t...
Embodiment 2
[0087] figure 2 It is a schematic diagram of the positioning area provided in the second embodiment of the present invention. On the basis of the first embodiment, in this embodiment, when locating the target to be located corresponding to the fingerprint to be tested, a location fingerprint library needs to be established in advance.
[0088] In this embodiment, a preset number of signal source devices are preset in the positioning area, the positioning area is pre-divided into a number of sub-areas, and the center of the sub-area is used as a reference point to obtain the position information and fingerprint information of each reference point. The fingerprint information of the reference point refers to a signal sequence composed of the signal strength of the WIFI signal sent by each signal source device received at the reference point. The position information of the reference point may be the position coordinates of the reference point.
[0089] Optionally, an existing WIFI ...
Embodiment 3
[0108] image 3 Is a flowchart of an indoor positioning method provided in Embodiment 3 of the present invention; Figure 4 Is a schematic diagram of an edge determination condition provided in the third embodiment of the present invention; Figure 5 This is the cumulative error distribution (CDF) simulation result under different K values provided in the third embodiment of the present invention. On the basis of the above-mentioned Embodiment 1 or Embodiment 2, in the embodiment of the present invention, as image 3 As shown, judging whether the fingerprint to be tested is at the edge of the attribution category can be implemented in the following steps:
[0109] Step S201: Calculate the Euclidean distance between the center of the attribution class and the fingerprint information of each reference point in the attribution class.
[0110] The method of calculating the Euclidean distance between any two pieces of fingerprint information in this embodiment is the same as that in th...
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