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A rssi indoor positioning algorithm based on grid clustering

A grid clustering and indoor positioning technology, applied in the field of wireless communication and artificial intelligence positioning, can solve the problem of low positioning accuracy and achieve the effect of autonomous positioning

Inactive Publication Date: 2021-08-24
HEFEI UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to propose an indoor positioning algorithm based on RSSI grid clustering for the above-mentioned problem of low positioning accuracy caused by the complex indoor environment

Method used

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  • A rssi indoor positioning algorithm based on grid clustering
  • A rssi indoor positioning algorithm based on grid clustering
  • A rssi indoor positioning algorithm based on grid clustering

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Embodiment Construction

[0046] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0047] figure 1 Shown is an RSSI indoor positioning algorithm based on grid clustering according to an embodiment of the present invention.

[0048] like figure 1 As shown, the RSSI indoor positioning algorithm based on grid clustering according to an embodiment of the present invention includes the following steps:

[0049] Step S1, place the RFID fixed reader, and randomly place the active tag as the tag to be tested, and determine the RFID positioning system model;

[0050] Step S2, measure the RSSI value from each reader to the tag to be tested multiple times at different times, record each measurement value and calculate the distance from the tag to be tested to each reader based on the obtained RSSI value;

[0051] Step S3, using the trilateration algorithm to obtain multiple "estimated labels", and calculating the average value of the coordin...

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Abstract

The present invention relates to an RSSI indoor positioning algorithm based on grid clustering, comprising: Step S1, placing RFID fixed readers, and randomly placing active tags as tags to be tested, and determining the RFID positioning system model; Step S2, Measure the RSSI value from each reader to the tag to be tested multiple times at different times, record each measurement value and calculate the distance from the tag to be tested to each reader based on the obtained RSSI value; step S3, use the trilateral positioning algorithm Obtain multiple "estimated labels", and calculate the average value of the coordinates of these "estimated labels" as the "target label"; step S4, centering on the "target label", delineate a search area, and divide the area into equal-sized grid; step S5, use the grid clustering algorithm to screen out the grid containing the most "estimated labels", and select the "estimated labels" in the grid as reference labels; step S6, according to the weighted centroid algorithm, find The centroid of the reference tag serves as an estimate of the coordinates of the tag to be tested.

Description

technical field [0001] The invention relates to the fields of wireless communication and artificial intelligence positioning, in particular to a RSSI indoor positioning algorithm based on grid clustering. Background technique [0002] With the rapid development of wireless communication, Internet technology and artificial intelligence, positioning technology has received extensive attention. The outdoor positioning technology mainly uses the Global Positioning System (GPS) or the Beidou positioning system to locate the target object. However, when entering the indoor positioning system, GPS or Beidou positioning system basically loses positioning accuracy, and then loses the indoor positioning function. Indoor positioning technology mainly completes the positioning of target tags through multiple base stations by building an indoor positioning system. At present, indoor positioning technologies are mainly divided into two categories: ranging-based and ranging-free. Common...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01C21/20G06K9/62
CPCG01C21/206G06F18/2321
Inventor 肖本贤兰庆庆何怡刚陈荣保
Owner HEFEI UNIV OF TECH