Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Indoor Positioning Method Based on Classification Threshold and Signal Strength Weight

A technology of signal strength and classification threshold, applied in wireless communication, transmission monitoring, nan and other directions, can solve the problems of indoor interference factors, cost, and failure to consider RSSI loss characteristics, etc., to achieve simple implementation, reduce positioning errors, and improve The effect of positioning accuracy

Inactive Publication Date: 2016-01-06
FUJIAN NORMAL UNIV
View PDF2 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Indoor wireless positioning services mainly face two problems: one is positioning accuracy, and the other is cost
These algorithms do not take into account the actual loss characteristics of RSSI changing with distance, so the results obtained are often greatly affected by indoor interference factors

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Indoor Positioning Method Based on Classification Threshold and Signal Strength Weight
  • Indoor Positioning Method Based on Classification Threshold and Signal Strength Weight
  • Indoor Positioning Method Based on Classification Threshold and Signal Strength Weight

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

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

[0035] The present embodiment provides an indoor positioning method based on a classification threshold and a signal strength weight, which is characterized in that it includes the following steps:

[0036] 1) Divide the target area into a uniform grid, measure the received RSSI value of each beacon node at the center point of each grid, and construct the RSSI fingerprint map, that is, the RSSI fingerprint database;

[0037] 2) Classify all reference points according to the relationship between the average signal strength collected at each reference point and the distance;

[0038] 3) Use the classification results of step 2) to determine the matching thresholds of each reference point;

[0039] 4) In the positioning phase of the mobile node, according to the real-time RSSI value and various reference point thresholds, vote for the preferred reference ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to the field of indoor wireless positioning and particularly relates to an RSSI (Received Signal Strength Indicator) wireless positioning method based on classified thresholds and signal strength weight. The method comprises the steps of: in a scene in an offline training stage, firstly collecting signal features of a plurality of reference points, establishing an RSSI fingerprint database, and then independently calculating a matching threshold for each reference point according to signal transmission loss features of the scene; and in a positioning stage, firstly preferably selecting the reference points from the fingerprint database according to fingerprints of a to-be-measured position and the threshold of each reference point, and then introducing signal strength of the reference points as the weight to participate in K adjacent weighting, so as to realize the positioning of a mobile node. The method is simple and feasible, is high in positioning accuracy and is capable of effectively reducing the influences of the random jitter of an RSSI and an individual abnormal beacon node on the positioning and the calculation.

Description

technical field [0001] The invention relates to the field of indoor wireless positioning, in particular to an RSSI wireless positioning method based on classification thresholds and signal strength weights. Background technique [0002] With the development of wireless network technology, various types of wireless applications play an increasingly important role. Accurate location services can change people's production and life activities in many ways, and can bring higher convenience to society. Especially in indoor places, such as airports, supermarkets, mines and other environments, the location information of people or objects plays a vital role in management. Indoor wireless positioning services mainly face two problems: one is positioning accuracy, and the other is cost. The positioning method based on RSSI (received signal strength indicator) fingerprint has been widely used in various wireless network positioning because it does not need to add additional hardware...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): H04W4/04H04W64/00H04B17/318
Inventor 叶阿勇杨小亮
Owner FUJIAN NORMAL UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com