@inproceedings{8a1fea0ab9734005896736fc02a6993c,
title = "Indoor location estimation using smart antenna system",
abstract = "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.",
keywords = "Fingerprint, Indoor positioning, Location estimation, Receive signal strength, Smart antenna system, WLAN",
author = "Sheu, {Shiann Tsong} and Kao, {Ming Tse} and Hsu, {Yen Ming} and Cheng, {Yen Chieh}",
year = "2013",
doi = "10.1109/VTCFall.2013.6692241",
language = "???core.languages.en_GB???",
isbn = "9781467361873",
series = "IEEE Vehicular Technology Conference",
booktitle = "2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013",
note = "2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013 ; Conference date: 02-09-2013 Through 05-09-2013",
}