Axial Decoupling Indoor Localization Method Based on Location Fingerprint
A technology of indoor positioning and positioning method, applied in positioning, measuring devices, instruments, etc., can solve the problems of increased calculation cost, longer training time of positioning system, and inability to improve positioning accuracy.
Active Publication Date: 2017-09-29
XIANGTAN UNIV
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Problems solved by technology
However, a large number of training samples will inevitably lead to longer training time and higher computational cost of the positioning system.
Existing positioning technologies cannot improve positioning accuracy while reducing calculation costs, but can only choose one of them, so most positioning technologies sacrifice calculation costs to obtain higher positioning accuracy
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Embodiment 1
[0053] Such as figure 2 As shown, the experimental environment tested in this embodiment is an office area (including corridors, classrooms and stairs) covered by Wi-Fi, and the size of the area is 30m×25m. Among them, the rhombus represents the positions of 6 wireless APs. A total of 257 samples were collected in this experiment, and each sample was composed of RSS values of 6 different APs. According to the size of grid division, the number of categories of RSS samples is also different. The traditional grid method is to divide the positioning area into l x × l y Grids, where each grid corresponds to a category, a total of l x l y categories, and the location coordinates are the center of the grid. However, the axial decoupling positioning method proposed by the present invention does not estimate the coordinates of the X-axis and the Y-axis simultaneously, but independently estimates the coordinates of the two axes simultaneously. Therefore, for the X dimension, t...
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The invention provides an axial decoupling indoor positioning method based on location fingerprint. The axial decoupling indoor positioning method comprises an offline training stage and an online positioning stage. The offline training stage comprises following steps of: (1) dividing an indoor positioning area into grids, acquiring the RSS value of each AP in each grid, and constructing a RSS characteristic vector of the grids and forming an X-axis sample set and a Y-axis sample set; (2) normalizing the X-axis sample set and the Y-axis sample set; and (3) independently training classifierz by using the normalized X-axis sample set and the normalized Y-axis sample set. The online positioning stage comprises the following steps of: (4) predicting the RSS fingerprint of an area to be positioned by using the trained classifiers and independently forming an X-axis decision result and a Y-axis decision result; and (5) combining the two decision results to obtain a positioning result. By independently performing positioning decision on the X axis and the Y axis, the axial decoupling indoor positioning method greatly decreases the amount of the classifiers, correspondingly shortens positioning time, and improves positioning precision.
Description
technical field [0001] The invention belongs to the technical field of signal processing and pattern recognition, and relates to position fingerprints, indoor positioning, and axial decoupling technologies, in particular to an axial decoupling indoor positioning method based on position fingerprints. Background technique [0002] With the maturity and rapid development of wireless network, mobile communication and ubiquitous computing technology, location-based wireless positioning service is becoming more and more important. At present, the Global Positioning System (GPS) is a relatively successful wireless positioning technology, which has the advantages of fast positioning, accuracy and stability in outdoor spacious environments. However, for indoor environments and densely populated cities with high-rise buildings, the positioning accuracy of the GPS system is severely reduced or even unable to locate due to the blocking of satellite signals. Therefore, in recent years,...
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IPC IPC(8): G01S5/02
CPCG01S5/02
Inventor 周彦韦燕华
Owner XIANGTAN UNIV