%0 Conference Paper %1 teuber2006indoor %A Teuber, Andreas %B Hannoversche Beiträge zur Nachrichtentechnik: Proceedings of 3rd Workshop on Positioning, Navigation and Communication 2006 (WPNC 06) %C Aachen %D 2006 %E Eisfeller, Bernd %I Shaker Verlag %K wlanpos %P 158-168 %T WLAN Indoor Positioning Based on Euclidean Distances and Fuzzy Logic %U http://www.wpnc.net/fileadmin/WPNC06/Proceedings/31_WLAN_Indoor_Positioning_Based_on_Euclidean_Distances_and_Fuzzy_Logic.pdf %X This paper presents an indoor positioning approach based on pattern recognition of IEEE 802.11 signal strength measurements. The approach is divided into the calibration mode and an operational mode when a user demands to be positioned. During the calibration mode signal strength measurements on sites with known coordinates are carried out and stored in a database. The current signal strength pattern of the measurements in the operational mode is then compared to the database by computing Euclidean distances. An effective processing of these Euclidean distances is undertaken by means of fuzzy logic methods in two stages. While in the first stage a number of candidates of proximate calibration sites is investigated the second stage is responsible for an appropriate weighting of their coordinates and yields the positioning result. First test results of two different environments are presented.

@inproceedings{teuber2006indoor, abstract = {This paper presents an indoor positioning approach based on pattern recognition of IEEE 802.11 signal strength measurements. The approach is divided into the calibration mode and an operational mode when a user demands to be positioned. During the calibration mode signal strength measurements on sites with known coordinates are carried out and stored in a database. The current signal strength pattern of the measurements in the operational mode is then compared to the database by computing Euclidean distances. An effective processing of these Euclidean distances is undertaken by means of fuzzy logic methods in two stages. While in the first stage a number of candidates of proximate calibration sites is investigated the second stage is responsible for an appropriate weighting of their coordinates and yields the positioning result. First test results of two different environments are presented. }, added-at = {2010-01-11T13:39:06.000+0100}, address = {Aachen}, author = {Teuber, Andreas}, biburl = {https://www.bibsonomy.org/bibtex/2d7bfd960afb6a8dd2fdb7cd67bfac536/kw}, booktitle = {Hannoversche Beiträge zur Nachrichtentechnik: Proceedings of 3rd Workshop on Positioning, Navigation and Communication 2006 (WPNC 06)}, editor = {Eisfeller, Bernd}, interhash = {8cea9bd4d0ea35bb8a213c26866b281e}, intrahash = {d7bfd960afb6a8dd2fdb7cd67bfac536}, keywords = {wlanpos}, month = {3}, pages = {158-168}, publisher = {Shaker Verlag}, timestamp = {2010-01-11T13:39:06.000+0100}, title = {WLAN Indoor Positioning Based on Euclidean Distances and Fuzzy Logic}, url = {http://www.wpnc.net/fileadmin/WPNC06/Proceedings/31_WLAN_Indoor_Positioning_Based_on_Euclidean_Distances_and_Fuzzy_Logic.pdf}, year = 2006 }