Radio frequency map self-adaption positioning method based on clustering mechanism and robust regression

A radio frequency map and robust regression technology, applied in positioning, measuring devices, instruments, etc., can solve the problems that indoor interference factors are greatly affected, and the characteristics of RSSI signal loss are not considered, so as to achieve the effect of simple implementation and improved positioning accuracy

Inactive Publication Date: 2014-01-22
FUJIAN NORMAL UNIV
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Problems solved by technology

These algorithms do not take into account the actual loss characteristics of the RSSI signal and the update function is affected by the abnormal value of the RSSI, so the results obtained are often greatly affected by indoor interference factors

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  • Radio frequency map self-adaption positioning method based on clustering mechanism and robust regression
  • Radio frequency map self-adaption positioning method based on clustering mechanism and robust regression
  • Radio frequency map self-adaption positioning method based on clustering mechanism and robust regression

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Embodiment Construction

[0034] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0035] The radio frequency map self-adaptive positioning method based on clustering mechanism and robust regression of the present invention comprises the following steps:

[0036] (1) Divide the target area into a uniform grid, and place an appropriate amount of check nodes and beacon nodes in the target area, measure the received RSSI of each beacon node at each grid center point and check node, and construct Static RSSI RF map;

[0037] (2) Calculate the path loss parameter of each reference point, that is, the grid center point, according to the static RSSI radio frequency map;

[0038] (3) Cluster the reference points according to the path loss parameters, and divide the positioning area into multiple sub-areas;

[0039] (4) Perform robust linear regression on the RSSI fingerprint of the reference point in each sub-region and t...

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Abstract

The invention relates to a radio frequency map self-adaption positioning method based on a clustering mechanism and robust regression. According to the method, in the offline training stage, signal features of multiple reference points and check nodes of one scene are collected firstly, and a static radio frequency map is established; then, a path loss parameter of each reference point is calculated according to the static radio frequency map of the scene; the reference points are clustered according to the path loss parameters, and a positioning area is divided into a plurality of subareas; finally, RSSI (received signal strength identification) fingerprints of a reference point in each subarea and RSSI fingerprints of a check point in the subarea are subjected to linear robust regression; and in the online positioning stage, the radio frequency map is updated by check point RSSI vectors and robust regression parameters which are acquired at regular time, and then, the radio frequency map is used in a weighted K neighbor algorithm, so that the positioning is realized. The method is simple, easy to implement and high in positioning accuracy, influences of outdating of the radio frequency map on positioning calculation can be effectively reduced, and the outdating of the radio frequency map is caused by factors such as RSSI random jittering, interference of walking of indoor workers and the like.

Description

technical field [0001] The invention relates to the technical field of indoor wireless positioning, in particular to a radio frequency map self-adaptive positioning method based on a clustering mechanism and robust regression. Background technique [0002] With the development of mobile communication and wireless technology, location-based services are getting more and more attention. People's demand for indoor positioning information is increasing day by day. Large indoor places such as underground parking lots, logistics warehouses, mines, hospitals, prisons, archaeological sites, exhibition halls, museums, etc. need real-time positioning of people or objects in order to realize navigation, monitoring and intelligence. Management and other functions. The indoor positioning method based on radio frequency map has become one of the most important indoor wireless positioning methods in recent years because of its high positioning accuracy and simple calculation method. [0...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W64/00G01S5/02
Inventor 叶阿勇杨小亮
Owner FUJIAN NORMAL UNIV
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