Wireless signal positioning method and device
A technology of wireless signal and positioning method, applied in optical device exploration, neural learning method, service based on location information, etc., can solve problems such as complex wiring, high application cost, unfavorable promotion, etc., to overcome technical problems, reduce manpower, The effect of protecting user privacy
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Embodiment 1
[0042] like figure 1 As shown, the wireless signal positioning method includes the following steps:
[0043] 1) Area division: Divide the effective area into multiple sub-areas as data sampling points; specifically, divide the effective area into multiple squares, rectangles or hexagons, for example: divide the rectangular room into multiple 30cm* of equal area For a square of 30cm, in general, the outline of the divided sub-regions ranges from 10cm to 50cm.
[0044] 2) Wireless signal collection: Move objects or human bodies to different data sampling points in turn, and record the impact data corresponding to multiple wireless devices in the wireless network in sequence; specifically, human bodies or objects in different positions will absorb and reflect signals , to generate different impact signals, therefore, let the user enter different sampling points in turn to record the corresponding impact data.
[0045] It should be noted that wireless signals include but are not...
Embodiment 2
[0053] In this embodiment, the data record format in the wireless signal collection process is:
[0054] f i =(L i , H i , CN i , N i , C i , W i , D i , T i ,MAC i1 , RSSI i1 ,CSI i1 ,LQI i1 ...,MAC in , RSSI in ,CSI in , LQI in ), where: L i Indicates that the object or human body is at the i-th sampling point; H i Indicates the state of the object or human body in the i-th sampling point; CN i Indicates the network communication situation in the current collection area; N i Indicates the network communication situation of the non-current collection area; C i Indicates the state of the curtains in the effective area when recording the i-th sampling point data; W i Indicates the state of windows in the effective area when recording the i-th sampling point data; D i Indicates the state of the door in the effective area when recording the i-th sampling point data; T i Indicates the recording time for recording the i-th sampling point data; MAC in Indicat...
Embodiment 3
[0057] The fingerprint data model included in the original data is as follows:
[0058]
[0059] Among them, the fingerprint data model includes the recorded data of all sampling points, where: L m Indicates that the object or human body is at the mth sampling point; H m Indicates the state of the object or human body in the mth sampling point, for example: use different parameters to represent the state of no one, one person, many people, people sitting, standing, etc.; CN m Indicates the network communication status of the current collection area, and judges whether there are activities such as watching videos, playing games, and transferring files in the current collection area; N m Indicates the network communication situation in the non-current collection area, and judges whether there are activities such as watching videos, playing games, and file transfers in the non-current collection area; C m Indicates the state of curtains in the effective area when recording t...
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