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http://dx.doi.org/10.12673/jant.2015.19.6.558

Location Estimation Algorithm Based on AOA Using a RSSI Difference in Indoor Environment  

Jung, Young-Jin (Department of Electrical, Electronics and Communication Engineering, Korea University of Technology and Education)
Jeon, Min-Ho (Department of Electrical, Electronics and Communication Engineering, Korea University of Technology and Education)
Ahn, Jeong-Kil (Pinetelecom Co., LTD.)
Lee, Jung-Hoon (Pinetelecom Co., LTD.)
Oh, Chang-Heon (Department of Electrical, Electronics and Communication Engineering, Korea University of Technology and Education)
Publication Information
Journal of Advanced Navigation Technology / v.19, no.6, 2015 , pp. 558-563 More about this Journal
Abstract
There have recently been various services that use indoor location estimation technologies. Representative methods of location estimation include fingerprinting and triangulation, but they lack accuracy. Various kinds of research which apply existing location estimation methods like AOA, TOA, and TDOA are being done to solve this problem. In this paper, we study the location estimation algorithm based on AOA using a RSSI difference in indoor environments. We assume that there is a single AP with four antennas, and estimate the angle of arrival based on the RSSI value to apply the AOA algorithm. To compensate for RSSI, we use a recursive averaging filter, and use the corrected RSSI and the Pythagorean theorem to estimate the angle of arrival. The results of the experiment, show an error of 18% because of the radiation pattern of the four non-directional antennas arranged at narrow intervals.
Keywords
Angle of arrival; Indoor location estimation; Recursive averaging filter; Received signal strength indicator; Location based service;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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