Indoor Positioning Optimization Method Based on Location Fingerprint Algorithm
An indoor positioning and fingerprint algorithm technology, applied in the direction of location information-based services, positioning, measuring devices, etc., can solve the problems of positioning errors without special processing, high matching processing time complexity, and insufficient fingerprint collection accuracy, etc., to achieve The effect of improved fingerprint collection accuracy, reduced time complexity, and high fingerprint accuracy
Active Publication Date: 2020-07-17
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology
[0006] However, the existing location fingerprint positioning method simply collects RSSI information to build a location fingerprint library during the fingerprint collection process, and its fingerprint collection accuracy is not enough; Once the density requirements of the location fingerprint library are increased, the construction workload will increase greatly; and for the noise points in the location fingerprint library, no method is used to remove them, and the accuracy of the fingerprint in the location fingerprint library needs to be improved. Further improvement; at the same time, when matching location fingerprints, the method used is one-by-one matching, and the time complexity of the matching processing is relatively high. In addition, no special processing is carried out for positioning errors caused by device differences. will bring a certain positioning error
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[0065] In this example, an approximately 84m 2 In the indoor environment, 4 APs are deployed in the indoor environment, and 25 points are selected as reference points in the indoor environment to construct the location fingerprint database. The distance between adjacent reference points is 2m, see image 3 , the deployment positions of the 4 APs are as follows image 3 As shown, it includes two TP_LINK TL-WR886N routers, one TP_LINK TL-WR740N router and one Tenda 811R router. location fingerprint library
[0066] In order to realize the real-time positioning processing of any positioning point, the location fingerprint database is constructed in the offline state firstly, see Figure 4 , the specific process is as follows:
[0067] (1) Set the location fingerprint collection scheme.
[0068] In the present embodiment, a wireless notebook computer equipped with a network adapter is adopted as a collection terminal of signal strength, and software such as WirelessMon, SPSS S...
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The invention discloses an indoor positioning optimization method based on a location fingerprint algorithm. On the basis of the existing position fingerprint positioning method, the present invention performs corresponding optimization processing on signal strength collection, fingerprint library density, fingerprint library accuracy, positioning efficiency, and equipment error, thereby realizing the improvement of the accuracy and efficiency of the positioning process . The present invention does not need the support of additional hardware during the positioning process, so it has a lower positioning cost. In the case of accurate signal strength measurement and high accuracy and density of the location fingerprint library, the present invention can provide higher positioning accuracy.
Description
technical field [0001] The invention belongs to the technical field of indoor positioning, and in particular relates to an indoor positioning method based on a location fingerprint algorithm. Background technique [0002] The fingerprint positioning algorithm completes positioning through the correlation between RSSI (Received Signal Strength Indication, received signal strength indication) information, and realizes the estimation of positioning coordinates by matching the RSSI information at the positioning point with the RSSI information of the location fingerprint. The positioning principle of the fingerprint positioning algorithm is as follows: figure 1 As shown, the positioning process is divided into two stages: 1. Offline training stage: select n points in the area as reference points for location fingerprint collection, so as to complete the construction of the location fingerprint library. Composition of position coordinates and RSSI information; 2. Online position...
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IPC IPC(8): H04W4/021H04W4/029G01S5/02G01S5/12G01S11/06
CPCG01S5/0252G01S5/12G01S11/06H04W4/021H04W4/023H04W4/025
Inventor 邢建川董科廷韩保祯张易丰丁志新康亮王翔侯鑫宇王书琪邵慧陈朝阳
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA