A kind of indoor wi-fi positioning method

Abstract

The invention discloses an indoor Wi-Fi positioning method, which includes several positioning APs, positioning clients and positioning servers, and also includes the following steps: A: initializing the positioning system, dividing positioning areas, setting collection points and installing positioning APs, and constructing each The signal strength matrix of the area; B: signal data collection, count the RSSI and frequency f collected in all areas for each positioning AP to construct the signal distribution matrix; C: filter out the abnormal points of signal mutation, according to the signal strength and center The relationship between the distance of the signal strength and the average distance and the frequency of each signal strength filter out the abnormal points of the signal mutation; D: positioning, according to the weighted average signal strength and similarity, the collection points are screened and weighted to obtain the coordinates of the points to be positioned; the present invention has the advantages of positioning It has the advantages of being fast and accurate, having a small amount of calculation, and reducing costs.

Description

technical field [0001] The invention relates to an indoor Wi-Fi positioning method. Background technique [0002] With the increasing maturity of wireless network technology, wireless network has been accepted by more and more enterprise users. At present, wireless local area network has become a hot spot in wireless network technology. The narrow definition of WLAN is based on the IEEE 802.11 series of standards, using high-frequency wireless radio frequency as a wireless local area network as a transmission medium. In 1990, IEEE officially launched the 802.11 project. Since the birth of the IEEE802.11 standard, 802.11a, 802.11b, 802.11g, 802.11e, 802.11f, 802.11h, 802.11i, 802.11j and other standards have been formulated or brewed. Currently, 802.11 nThe application has been very common, and has been widely used in many fields such as smart campus, smart park, and smart city. Compared with the wired network, the wireless local area network has the characteristics of flex...

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Problems solved by technology

[0010] The location fingerprint matching method mainly has the problem of matching error. The reason for the error is that the positioning unit is far away in the physical space, but the collected fingerprint may be very close in the signal space. The wrong positioning unit was matched, see figure 1 , the RSSI collected at point A A(AP1，AP2) =(-58,-47), in the fingerprint database: RSSI G11(AP1，AP2) =(-60,-45), RSSI G13(AP1，AP2) =(-59,-48), then the Euclidean distances from point A to G11 and G13 are R AG11 =[(-58+60) 2 +(-47+45) 2 ] 1 / 2 =2.8,R AG13 =[(-58+59) 2 +(-47+48) 2 ] 1 / 2 = 1.4, so it will be judged that point A is the closest to G13, but the actual situation is that point A is relatively close to G11. Using the above method, there is another problem that the required computing resources are relatively large. When it is necessary to locate a large number of mobile phones, will cause a large delay

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