NDLI: Dynamic-KNN: A novel locating method in WLAN based on Angle of Arrival

Content Provider	IEEE Xplore Digital Library
Author	Roshanaei, M. Maleki, M.
Copyright Year	2009
Description	Author affiliation: Communications Technology Institute, Iran Telecommunication Research Center, Tehran, Iran (Roshanaei, M.; Maleki, M.)
Abstract	Location estimation as one of the most popular research areas has been recently attended because of wide range of its applications. K Nearest Neighbor (KNN) is a basic deterministic algorithm for locating which is widely used in fingerprinting approach. The performance of the KNN can be improved extensively by employing appropriate selection algorithm. In this paper, a novel algorithm called Dynamic KNN (D-KNN) which uses Angle of Arrival (AOA) and KNN as a hybrid method is proposed. This method comparing with KNN algorithm with constant K, selects the best number of nearest neighbors dynamically. It utilizes the adaptive antenna system to determine the user locative area by intersection of several obtained AOA. The best K neighbors which are located in the determined area can be selected to employ in the KNN. Analysis and simulation results are reported the best overall performance of D-KNN in different conditions.
Starting Page	722
Ending Page	726
File Size	401169
Page Count	5
File Format	PDF
ISBN	9781424446810
DOI	10.1109/ISIEA.2009.5356349
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-04
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless LAN Adaptive systems Heuristic algorithms Adaptive arrays Fingerprint recognition Indoor Positioning Time measurement Angle of Arrival Location Fingerprinting Nearest neighbor searches Industrial electronics K Nearest Neighbor (KNN) Communications technology Hardware
Content Type	Text
Resource Type	Article

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