WLAN (Wireless Local Area Network) indoor neighbourhood matching positioning method based on autocorrelation filtering

A positioning method and autocorrelation technology, applied in electrical components, wireless communication, network topology, etc., can solve the problems of location fingerprint database dynamic change position dependence, etc., to ensure positioning accuracy and real-time performance, and improve positioning accuracy

Inactive Publication Date: 2011-07-20
HARBIN INST OF TECH
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to solve the problem of dynamic changes in the location fingerprint database and poor location dependence caused by factors such as indoor complex signal reflection, refraction, diffraction, human body and facility shading in the existing WLAN indoor proximity matching positioning method Problem, provide a WLAN indoor proximity matching positioning method based on autocorrelation filtering

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  • WLAN (Wireless Local Area Network) indoor neighbourhood matching positioning method based on autocorrelation filtering
  • WLAN (Wireless Local Area Network) indoor neighbourhood matching positioning method based on autocorrelation filtering
  • WLAN (Wireless Local Area Network) indoor neighbourhood matching positioning method based on autocorrelation filtering

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specific Embodiment approach 1

[0015] Specific implementation mode 1: The specific steps of the WLAN indoor proximity matching positioning method based on autocorrelation filtering are as follows:

[0016] Step 1, in the off-line collection phase, uniformly mark the reference point RP (Reference Point) position in the target positioning area, in the present invention, the distance interval between adjacent reference points is 1m, WLAN wireless network access point AP (Access Point) , to ensure that any position in the target positioning area can receive the signal strength from at least one AP;

[0017] Step 2. At each reference point, the signal strengths from different APs are collected at a sampling rate of 2 samples / second, and stored in the strength fingerprint sample sets corresponding to different reference point positions;

[0018] Step 3: In the offline correction stage, first use the autocorrelation characteristics of the continuous intensity signal, according to the correlation coefficient thresh...

specific Embodiment approach 2

[0021] Specific embodiment two: WLAN indoor adjacent matching location method based on autocorrelation filtering, it is characterized in that step 3 comprises:

[0022] Sub-step 1: Set the reference point R i =(x i ,y i ), (i=1,...,N RP The set of intensity fingerprint samples collected at ) is expressed as Among them, N RP Indicates the total number of reference points in the positioning area, x i and y i Respectively represent R i X and Y coordinates, N SS Indicates the total number of samples contained in the intensity fingerprint sample set, x(j), (j=1,...,N SS ) represents the jth sample in the intensity fingerprint sample set;

[0023] Sub-step 2: Use the formula: Calculate the autocorrelation coefficient for each set of intensity fingerprint samples;

[0024] Sub-step 3: According to the correlation coefficient threshold Judging whether there are singular strength samples in the original signal strength fingerprint sample set, if for any delay number, the...

specific Embodiment approach 3

[0029] Specific embodiment three: WLAN indoor proximity matching positioning method based on autocorrelation filtering, characterized in that the received signal strength RSS (Radio Signal Strength) is greater than the sensitivity of the receiving terminal -90dBm. Other components and connections are the same as those in Embodiment 1.

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Abstract

The invention relates to a WLAN (Wireless Local Area Network) indoor neighbourhood matching positioning method based on autocorrelation filtering, solving the problems that a location fingerprint database is dynamically changed and has poorer location dependence caused by reflection, refraction and diffraction of indoor complex signals as well as shielding of a human body and facilities in the traditional WLAN indoor neighbourhood matching positioning method. The method comprises the following steps of: firstly, marking reference points in an offline acquisition stage; secondly, acquiring thesignal strengths of different APs (Access Point) at each reference point; thirdly, in an offline correction stage, firstly judging whether a singular strength sample is existed in different strength fingerprint sample sets by utilizing the autocorrelation characteristic of a continuous strength signal; fourthly, saving the strength sample mean into the location fingerprint database; and fifthly, in an online positioning stage, estimating location coordinates of a positioning terminal. The method provided by the invention is applicable to WLAN indoor positioning.

Description

technical field [0001] The invention relates to a WLAN indoor proximity matching positioning method based on autocorrelation filtering. Background technique [0002] With the transformation of people's seamless communication requirements to user-based high-speed, high-density environment-aware computing in the future, location-based application service LBS (Location Based Service) has attracted more and more attention. Moreover, in the past ten years, the emergence of a large number of convenient and effective positioning and tracking services and related equipment has proved that in the future ubiquitous environmental intelligent perception services, positioning and tracking will definitely become indispensable in the entire perception service system. essential component that is missing. Although the widely used GPS (Global Positioning System) and cellular wireless communication positioning system can effectively solve people's positioning and tracking needs outdoors or in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W64/00H04W84/12
Inventor 马琳周牧徐玉滨孟维晓李利民谭学治吴少川
Owner HARBIN INST OF TECH
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