A Bluetooth positioning method, device, equipment and system based on Gaussian regression
A technology of Bluetooth positioning and Gaussian regression, applied in the direction of location information-based services, wireless communication, electrical components, etc., can solve problems such as inaccuracy, cost increase, fingerprint database failure, etc., to reduce costs, solve cost increases, and improve accuracy The effect of speed and ease of use
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Embodiment 1
[0032] see figure 1 , figure 1 It is a flowchart of a Gaussian regression-based Bluetooth positioning method provided by an embodiment of the present invention; including:
[0033] S1. Obtain the Bluetooth signals of several detected Bluetooth nodes within a preset time; wherein, the Bluetooth signals are greater than the preset signal strength;
[0034] S2. When it is detected that the number of the Bluetooth nodes is greater than the preset number of nodes, obtain the coordinate vector and the relative strength value of the currently detected Bluetooth nodes; wherein the relative strength value is the currently measured Bluetooth The difference between the Bluetooth signal strength of the node and the preset signal strength;
[0035] S3. Use a Gaussian curve to fit according to the coordinate vector and the relative intensity value, and take the peak position of the Gaussian curve as the positioning coordinate;
[0036] It is worth noting that the Gaussian regression-base...
Embodiment 2
[0055] see figure 2 , figure 2 It is a schematic structural diagram of a Gaussian regression-based Bluetooth positioning device 10 provided by an embodiment of the present invention; including:
[0056] The bluetooth signal detection unit 11 is used to acquire the bluetooth signals of several bluetooth nodes detected within the preset time; wherein, the bluetooth signal is greater than the preset signal strength;
[0057] The data obtaining unit 12 is used to obtain the coordinate vector and the relative strength value of the currently detected Bluetooth node after detecting that the number of the Bluetooth nodes is greater than the preset number of nodes; wherein, the relative strength value is currently measured The difference between the obtained Bluetooth signal strength of the Bluetooth node and the preset signal strength;
[0058] The positioning coordinate acquisition unit 13 is configured to use a Gaussian curve to fit according to the coordinate vector and the rel...
Embodiment 3
[0078] see image 3 , image 3 It is a schematic structural diagram of a Gaussian regression-based Bluetooth positioning device 20 provided by an embodiment of the present invention; the Gaussian regression-based Bluetooth positioning device 20 of this embodiment includes: a processor 21, a memory 22, and a device stored in the memory 22 and A computer program that can run on the processor 21. When the processor 21 executes the computer program, it realizes the steps in the above embodiments of the Gaussian regression-based Bluetooth positioning method, for example figure 1 Steps S1-S4 are shown. Alternatively, when the processor 21 executes the computer program, it realizes the functions of the modules / units in the above-mentioned device embodiments, such as the Bluetooth signal detection unit 11 .
[0079] Exemplarily, the computer program can be divided into one or more modules / units, and the one or more modules / units are stored in the memory 22 and executed by the proce...
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