RSS data flatting method based on multi-dimension analysis algorithm

A multi-dimensional scale analysis and data smoothing technology, applied in electrical components, wireless communication, network topology, etc., can solve the problems of increased influence of environmental noise and acquisition error RadioMap, reduction of RadioMap accuracy and positioning accuracy, etc., to eliminate noise and measurement errors , The effect of high-precision online positioning

Active Publication Date: 2017-01-25
黑龙江省工研院资产经营管理有限公司
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AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is in order to solve prior art along with the substantial reduction of RSS data collection quantity, the impact of environmental noise and collection error on Radio Map sharply increases, thereby causing the shortcoming that the precision that Radio Map establishes and positioning precision reduce greatly, And propose a RSS data smoothing method based on multi-dimensional scale analysis algorithm

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  • RSS data flatting method based on multi-dimension analysis algorithm

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specific Embodiment approach 1

[0031] Specific implementation mode one: a kind of RSS data smoothing method based on multi-dimensional scale analysis algorithm in this implementation mode The specific process is as follows:

[0032] The multi-dimensional dimension is a positive integer;

[0033] 1. Create an offline Radio Map after RSS data smoothing processing, the specific process is:

[0034] Step 1. Arrange m APs in the indoor area to be located, and calibrate the AP positions, such as figure 1 The experimental scene is shown, so that the wireless signal covers the entire indoor area to be positioned, and the WLAN network construction is completed;

[0035] The handheld mobile terminal moves in the indoor area to be positioned. During the movement, the mobile terminal (smart phone, tablet computer, etc.) is used to measure the inertial navigation data and RSS data. Inertial navigation data (such as acceleration data, direction data, etc.) calculates the relative coordinates between the corresponding ...

specific Embodiment approach 2

[0051] Specific embodiment 2: The difference between this embodiment and specific embodiment 1 is that in the first step, m APs are arranged in the indoor area to be positioned, and the positions of the APs are calibrated, such as figure 1 The experimental scene is shown, so that the wireless signal covers the entire indoor area to be positioned, and the construction of the WLAN network is completed; the specific process is as follows:

[0052] Calibrate the position coordinate of the kth AP as c APk =(x k ,y k ),k=1,2,...,m;

[0053] where x k is the abscissa of the kth AP position; y k is the ordinate of the kth AP position.

[0054] Other steps and parameters are the same as those in Embodiment 1.

specific Embodiment approach 3

[0055] Specific embodiment three: the difference between this embodiment and specific embodiment one or two is: in the step one, the handheld mobile terminal moves in the indoor area to be positioned, and the mobile terminal (smart phone, tablet computer, etc.) ) to measure the inertial navigation data and RSS data, in order to determine the collection position of the RSS data, that is, the position coordinates of the RP, use the inertial navigation data (such as acceleration data, direction data, etc.,) to calculate the relative coordinates between the corresponding positions of each RSS data, that is, the RP The relative coordinates; the specific process is:

[0056] Use the mobile terminal to measure the inertial navigation data and RSS data, and obtain the relative position coordinates of n RPs according to the measured inertial navigation data and the set starting point coordinates, c RPi =(x i ,y i ), i=1,2,...,n,c RPj =(x j ,y j ),j=1,2,...,n

[0057] where x i i...

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Abstract

The invention provides a RSS data flatting method based on a multi-dimension analysis algorithm, which aims at solving the defects of reducing Radio Map precision and locating precision greatly caused by the reduced RSS data collection, environment noise and increased influence of the collection error on Radio Map in the prior art. The specific process is as follows: 1. arranging m AP in the indoor area to be located, 2. obtaining similarity distance dik and djk, 3. obtaining similarity matrix among different RP, 4. obtaining the similarity distance of noise RP and other RP, replacing the corresponding value in the similarity matrix on the data space in step 3, 5. calculating and obtaining RSS', replacing RSS in step 1; and 6, repeating step 4 and step 5 to realize flatting the RSS data. The flatting method provided in the invention is used for locating indoor area.

Description

technical field [0001] The invention relates to an RSS data smoothing method based on a multidimensional scale analysis algorithm. Background technique [0002] Nowadays, in addition to daily communication, smart terminals play an increasingly important role in people's daily life. Among them, people's precise grasp of location information is becoming more and more intense. In terms of space, positioning is divided into outdoor positioning and indoor positioning. Nowadays, there are Global Positioning System (Global Positioning System, GPS), Network Assisted Global Positioning System (Assisted Global Positioning System, A-GPS) and cellular network positioning system in terms of outdoor positioning. The positioning information obtained by these three technologies can basically be Offered to meet various precision needs. Compared with the open outdoor environment, indoor positioning is a bit tricky, but the demand for indoor positioning is very clear, especially in hot spot...

Claims

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Application Information

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IPC IPC(8): H04W24/08H04W64/00H04W84/12
CPCH04W24/08H04W64/006H04W84/12
Inventor 徐玉滨张立晔马琳
Owner 黑龙江省工研院资产经营管理有限公司
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