Enhanced area estimation algorithms for indoor wireless localization

Heng Xiu Liu, Bo An Chen, Po Hsuan Tseng, Kai-Ten Feng, Tian Sheng Wang*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

We enhance the area average (AA) algorithm based on received signal strength (RSS) fingerprinting in Wi-Fi infrastructure by utilizing map information. The area searching (AS) algorithm adopts the concept of Cell-ID method before fingerprinting is proposed to select appropriate areas to reduce the estimation error. The fusion-based RSS distance computation (FRD) scheme can represent the RSS distance more accurate when both 2.4 GHz and 5 GHz are considered. Experiment results validate that the enhanced algorithms achieve above 90% of area estimation accuracy in the area with access points in four different testing environments.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509020737
DOIs
StatePublished - 25 Jul 2016
Event3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016 - Nantou County, Taiwan
Duration: 27 May 201630 May 2016

Publication series

Name2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016

Conference

Conference3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016
CountryTaiwan
CityNantou County
Period27/05/1630/05/16

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