Indoor positioning method based on bluetooth position fingerprints
An indoor positioning and fingerprint technology, applied in the field of positioning, to achieve the effect of reducing workload, reducing the burden of database construction, and improving positioning accuracy
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Embodiment 1
[0037] A kind of indoor positioning method based on bluetooth position fingerprint, comprises steps as follows:
[0038] 1) The first offline database building:
[0039] Establish a multidimensional spatial spectral fingerprint library, the multidimensional spatial spectral fingerprint library includes positioning received signal strength RSSI, indoor channel state information CSI, the value of the autocorrelation function at non-zero, the frequency of the received signal through fast Fourier transform Domain amplitude and phase, power spectral density and link quality value LQ; Described autocorrelation function refers to: describe the degree of correlation that a random process takes values at two different moments separated by t time;
[0040] The principle component analysis method is adopted, that is, through the idea of dimensionality reduction, the positioning received signal strength RSSI, indoor channel state information CSI, the value of the autocorrelation funct...
Embodiment 2
[0048] A kind of indoor positioning method based on bluetooth position fingerprint as described in embodiment 1, its difference is, the establishment method of described robust fingerprint storehouse, comprises steps as follows:
[0049] (1) Collect n reference point sample information:
[0050] Each sample has p index variables, forming an n×p data matrix X=(x ij ) n×p ,Right now
[0051] X = x 11 x 12 ... x 1 p x 21 x 22 .....
Embodiment 3
[0062] A kind of indoor positioning method based on bluetooth position fingerprint as described in embodiment 1, its difference is, the specific steps of the estimation of position information given in described step 2) include:
[0063] First, calculate the distance between the collection point fingerprint and the reference point fingerprint in the multidimensional spatial spectral fingerprint database: assuming that there are m reference point fingerprint data in the multidimensional spatial spectral fingerprint database, the collected fingerprint data contains n fingerprints from different Bluetooth anchor nodes, Each fingerprint data is denoted as s j , j=1...n, select the Bluetooth anchor node corresponding to the maximum value in the fingerprint data as the target anchor node s k , m reference point fingerprint data corresponding to n bluetooth anchor node fingerprints denoted as s ij , i=1...m, j=1...n, select the reference point fingerprint s to receive the signal of ...
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