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Multi-user RSS Fusion Method for WLAN Indoor Positioning Based on Linear Regression Algorithm

A linear regression and indoor positioning technology, applied in positioning, radio wave measurement system, measuring device, etc., can solve the problem of large positioning error, achieve the effect of improving accuracy and positioning accuracy

Active Publication Date: 2018-03-27
严格集团股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a WLAN indoor positioning multi-user based on a linear regression algorithm for the purpose of the RSS data collected by users using different mobile terminals during the Radio Map establishment process and the online positioning phase. RSS Fusion Method

Method used

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  • Multi-user RSS Fusion Method for WLAN Indoor Positioning Based on Linear Regression Algorithm
  • Multi-user RSS Fusion Method for WLAN Indoor Positioning Based on Linear Regression Algorithm
  • Multi-user RSS Fusion Method for WLAN Indoor Positioning Based on Linear Regression Algorithm

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specific Embodiment approach 1

[0052] The specific embodiment one, WLAN indoor positioning multi-user RSS fusion method based on linear regression algorithm, it is realized by the following steps:

[0053] Step 1. In the offline Radio Map establishment stage, the mobile terminal perceives the surrounding environment in the background without affecting the normal use of the user, and uploads the perceived RSS value, mobile terminal brand and other information to the server;

[0054] Step 2: The server selects a mobile terminal of a certain brand as the basic mobile terminal, performs linear regression processing on the RSS data collected by other mobile terminals and the RSS value collected by the basic mobile terminal at several reference points, and obtains the RSS value and Linear regression coefficients between different mobile terminals;

[0055] Step 3, use the obtained linear regression coefficients to perform linear regression processing on the RSS values ​​collected by different mobile terminals at ...

specific Embodiment approach 2

[0059] Embodiment 2. This embodiment is a further limitation of the linear regression algorithm-based WLAN indoor positioning multi-user RSS fusion method described in Embodiment 1. The offline stage Radio Map establishment and analysis process includes the following steps:

[0060] 1. At each reference point in the area to be positioned, use different brands of mobile terminals to collect and record the received signal strength RSS value from each AP n times and record the two-dimensional coordinates of the reference point to form 4 N i ×n×(M+2), i=1,2,3,4 matrix, where N i The number of reference points for collecting RSS values ​​for a mobile terminal of a certain brand, i=1, 2, 3, and 4 represent Huawei, Xiaomi, Samsung, and Nexus mobile terminals respectively, is the total number of reference points in the area to be located, n is the number of signal acquisitions at each reference point, M in M+2 represents the number of APs in the environment, and 2 represents the two-...

specific Embodiment approach 3

[0070] Embodiment 3: In the online positioning stage, the server performs linear regression processing on the RSS value collected by the user's mobile terminal to calculate the user's position coordinates, and calculates the error between the two-dimensional coordinates and the actual position. It consists of the following steps:

[0071] 1), such as Figure 4 As shown, the user selects the brand of the user's mobile terminal in the positioning software or the server independently identifies the brand of the user's mobile terminal, so as to obtain the linear regression coefficient in the Radio Map, and use the linear regression coefficient to linearize the RSS value measured by the user's mobile terminal. Regression processing obtains the RSS value after processing, and the calculation formula is as shown in formula (1) in the specific embodiment two;

[0072] 2) Average the n times of RSS value vectors measured at each reference point in the Radio Map to obtain a 1×(M+2) vec...

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Abstract

The invention relates to a WLAN indoor positioning multi-user RSS (Received Signal Strength) fusion method, in particular, a linear regression algorithm-based WLAN indoor positioning multi-user RSS fusion method. The objective of the invention is to solve the problem of large positioning errors caused by large difference of RSS data acquired by users through using different mobile terminals in a radio map building process and an online positioning stage. According to the method of the invention, in an off-line stage, linear regression processing is performed on RSS values acquired by the different mobile terminals, and at the same time, the linear regression coefficients of the different mobile terminals and a base mobile terminal are stored; in an online positioning stage, a system obtains the brands of the mobile terminals of the users, and reads the linear regression coefficients from a radio map so as to perform linear regression processing on the RSS values acquired by the mobile terminals; and therefore, the differences between the RSS values which are acquired online and the RSS values in the radio map caused by the differences of devices can be eliminated, and online positioning accuracy can be improved.

Description

technical field [0001] The invention relates to a multi-user RSS fusion method for WLAN indoor positioning. Background technique [0002] With the deployment of WLAN (Wireless Local Area Networks) more and more widely and the popularity of smart phones, the WLAN indoor positioning technology based on RSS (Received Signal Strength) is widely used because of its convenient deployment and no need to add other hardware devices. s concern. [0003] The WLAN indoor positioning technology estimates the position of the mobile device by measuring the received signal strength RSS from the access point AP (Access Point). The WLAN positioning system consists of two parts, namely, the offline Radio Map establishment phase and the online positioning estimation phase. The construction of the Radio Map in the offline phase is the most important thing to ensure high-precision indoor positioning. The Radio Map is composed of signal strength value vectors received by each reference point in ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S5/02
CPCG01S5/021G01S5/0284
Inventor 徐玉滨张立晔马琳张文彬
Owner 严格集团股份有限公司
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