Indoor matching location algorithm based on WIFI signal strength

Author

Zhang Chong ; Yu Hongyang

Author_Institution

Res. Inst. of Electron. Sci. & Technol., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

Volume

2

fYear

2013

fDate

15-17 Nov. 2013

Firstpage

116

Lastpage

119

Abstract

The traditional methods of matching location based on wifi wireless signal strength include two stages: offline signal map creation and online real-time positioning. This thesis improves the algorithm of online positioning stage. The first stage uses NNSS-AVG algorithm to select certain predetermined sites quickly. The second stage applies probabilistic algorithms to calculate the probability of the pre-positioning point and uses probability-weighted method to complete the positioning simultaneously. The actual environment test proves that hybrid algorithm can improve the response time and precision of the positioning.

Keywords

indoor radio; probability; radio direction-finding; wireless LAN; NNSS-AVG algorithm; WIFI wireless signal strength; hybrid algorithm; indoor matching location algorithm; offline signal map creation; online real-time positioning; positioning precision; predetermined sites; prepositioning point; probabilistic algorithms; probability-weighted method; response time; Artificial neural networks; Databases; Euclidean distance; Probability; Real-time systems; Time factors; Wireless communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Circuits and Systems (ICCCAS), 2013 International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4799-3050-0

Type

conf

DOI

10.1109/ICCCAS.2013.6765298

Filename

6765298