Indoor WLAN positioning networking method based on simrank similar combination neighborhood graph construction
A technology of similarity and similarity, applied in the field of indoor WLAN positioning networking, can solve problems such as the impact of positioning accuracy, achieve high position fingerprint positioning accuracy, quickly optimize layout, and reduce computing time overhead
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[0043] The present invention will be further described below in conjunction with accompanying drawing.
[0044] As shown in Figure 1(a) and Figure 1(b), the indoor WLAN positioning networking method based on the SimRank similar combination proximity graph includes the following steps:
[0045] Step 1, initialization, set i=1; where i is the count; Steps 1 to 9 are to construct a received signal strength (RSS) proximity map and a physical location proximity map between reference points.
[0046] Step 2, initialization, let j=1; where j is the counting amount.
[0047] Step 3. Calculate the RSS Euclidean distance and the physical location distance between the reference point i and the reference point j respectively, and store them in the matrix Edistance and Distance, wherein the element Edistance(i ,j) is the RSS Euclidean distance between reference point i and reference point j; element Distance(i,j) in row i, column j of matrix Distance is the physical position between refer...
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