Indoor location estimation using smart antenna system

Shiann Tsong Sheu, Ming Tse Kao, Yen Ming Hsu, Yen Chieh Cheng

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

2 Scopus citations


In indoor location environment, shadowing, multipath and reflection phenomena make the position estimation inaccurate. Large number of Access Points (APs) equipped with single antenna could obtain enough Receive Signal Strength (RSS) information to describe signal characteristics of the target space. However, it results in a large investment costs. This paper provides a novel indoor positioning solution using the multi-antennas architecture to increase the accuracy of location estimation. The system obtains enough RSS to compute the user location and provides a reasonable cost of deployments in indoor location environment. Experimental and numerical results show that the proposed indoor location estimation demonstrates a high accuracy of positioning and outstanding performance when RSS is collected by smart antenna technique. More specifically, the accuracy is increased from 1.34% to 92.4% and the error variance is reduced by 96% as compared to the traditional location fingerprint method.

Original languageEnglish
Title of host publication2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013
StatePublished - 2013
Event2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013 - Las Vegas, NV, United States
Duration: 2 Sep 20135 Sep 2013

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252


Conference2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013
Country/TerritoryUnited States
CityLas Vegas, NV


  • Fingerprint
  • Indoor positioning
  • Location estimation
  • Receive signal strength
  • Smart antenna system
  • WLAN


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